Part_1_data_cleaning_and_feature_engineering.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Use this notebook for downloading tweets, adding sentiments, cleaning and engineering the data and combining it with stock data\n",
    "\n",
    "http://followthehashtag.com/datasets/nasdaq-100-companies-free-twitter-dataset/ <br>\n",
    "https://github.com/cjhutto/vaderSentiment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
    "import datetime as dt\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "import pandas_datareader.data as web\n",
    "import math\n",
    "import xlsxwriter\n",
    "import os"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### In the cell below, for each new stock change file- and stockname and run all cells below\n",
    "Tweets for training were downloaded from the followthehashtag.com -website and saved ticker wise in the folder named Tweet."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "xls = pd.ExcelFile('C:/Users/jangn/OneDrive/CODE/Stock_markets/Tweets/AAL.xlsx') # CHANGE FILE NAME!!!\n",
    "\n",
    "stock = \"AAL\" #CHANGE STOCK TICKER!!!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Tweet Id</th>\n",
       "      <th>Date</th>\n",
       "      <th>Hour</th>\n",
       "      <th>User Name</th>\n",
       "      <th>Nickname</th>\n",
       "      <th>Bio</th>\n",
       "      <th>Tweet content</th>\n",
       "      <th>Favs</th>\n",
       "      <th>RTs</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>...</th>\n",
       "      <th>Listed</th>\n",
       "      <th>Tweet language (ISO 639-1)</th>\n",
       "      <th>Tweet Url</th>\n",
       "      <th>Is a RT</th>\n",
       "      <th>Original Tweet User Name</th>\n",
       "      <th>User Mentions</th>\n",
       "      <th>Hashtags</th>\n",
       "      <th>Symbols</th>\n",
       "      <th>Media</th>\n",
       "      <th>URLs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>743011665663295491</td>\n",
       "      <td>2016-06-15</td>\n",
       "      <td>09:26</td>\n",
       "      <td>Scutify</td>\n",
       "      <td>scutify</td>\n",
       "      <td>Scuttlebutt + Finance = Scutify. The most inno...</td>\n",
       "      <td>Why American Airlines Group Inc $AAL, Novo Nor...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>109.0</td>\n",
       "      <td>en</td>\n",
       "      <td>http://www.twitter.com/scutify/status/74301166...</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$AAL,$NVO,$SYF</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.scutify.com/articles/2016-06-15-wh...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>742994700563558400</td>\n",
       "      <td>2016-06-15</td>\n",
       "      <td>08:18</td>\n",
       "      <td>Halifax ShareDealing</td>\n",
       "      <td>halifaxbroker</td>\n",
       "      <td>Authorised and regulated by the Financial Cond...</td>\n",
       "      <td>Yesterday's top #FTSE100 fallers - Anglo Ameri...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.79648</td>\n",
       "      <td>...</td>\n",
       "      <td>43.0</td>\n",
       "      <td>en</td>\n",
       "      <td>http://www.twitter.com/halifaxbroker/status/74...</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>#FTSE100</td>\n",
       "      <td>$AAL,$ANTO,$SKY,$BKG,$BLT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>742991573181423618</td>\n",
       "      <td>2016-06-15</td>\n",
       "      <td>08:06</td>\n",
       "      <td>TradeWithSuper</td>\n",
       "      <td>TradeWithSuper</td>\n",
       "      <td>The Twitter handle 4 @TopFiveTraders that foll...</td>\n",
       "      <td>SA_QuickIdeas: 5 Large-Cap Stocks With The Low...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>110.0</td>\n",
       "      <td>en</td>\n",
       "      <td>http://www.twitter.com/TradeWithSuper/status/7...</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$AAL,$DAL,$HPQ,$TTM,$UAL,$VLO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://seekingalpha.com/article/3982103-5-larg...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>742991250899513345</td>\n",
       "      <td>2016-06-15</td>\n",
       "      <td>08:04</td>\n",
       "      <td>WKRB News</td>\n",
       "      <td>WKRBNews</td>\n",
       "      <td>WKRB News - News and Analysis. http://t.co/n4Q...</td>\n",
       "      <td>JPMorgan Chase &amp;amp; Co. Reiterates Underweigh...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>124.0</td>\n",
       "      <td>de</td>\n",
       "      <td>http://www.twitter.com/WKRBNews/status/7429912...</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://ift.tt/1UTFj1G</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>742990282380173313</td>\n",
       "      <td>2016-06-15</td>\n",
       "      <td>08:01</td>\n",
       "      <td>ProVesting</td>\n",
       "      <td>ProVesting</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$DAL $AAL:\\n\\n5 Large-Cap Stocks With The Lowe...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>140.0</td>\n",
       "      <td>en</td>\n",
       "      <td>http://www.twitter.com/ProVesting/status/74299...</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$DAL,$AAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.StockNewsWires.com/2016/06/15/dal-a...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Tweet Id        Date   Hour             User Name  \\\n",
       "0  743011665663295491  2016-06-15  09:26               Scutify   \n",
       "1  742994700563558400  2016-06-15  08:18  Halifax ShareDealing   \n",
       "2  742991573181423618  2016-06-15  08:06        TradeWithSuper   \n",
       "3  742991250899513345  2016-06-15  08:04             WKRB News   \n",
       "4  742990282380173313  2016-06-15  08:01            ProVesting   \n",
       "\n",
       "         Nickname                                                Bio  \\\n",
       "0         scutify  Scuttlebutt + Finance = Scutify. The most inno...   \n",
       "1   halifaxbroker  Authorised and regulated by the Financial Cond...   \n",
       "2  TradeWithSuper  The Twitter handle 4 @TopFiveTraders that foll...   \n",
       "3        WKRBNews  WKRB News - News and Analysis. http://t.co/n4Q...   \n",
       "4      ProVesting                                                NaN   \n",
       "\n",
       "                                       Tweet content  Favs  RTs  Latitude  \\\n",
       "0  Why American Airlines Group Inc $AAL, Novo Nor...   NaN  NaN       NaN   \n",
       "1  Yesterday's top #FTSE100 fallers - Anglo Ameri...   NaN  NaN  53.79648   \n",
       "2  SA_QuickIdeas: 5 Large-Cap Stocks With The Low...   NaN  NaN       NaN   \n",
       "3  JPMorgan Chase &amp; Co. Reiterates Underweigh...   NaN  NaN       NaN   \n",
       "4  $DAL $AAL:\\n\\n5 Large-Cap Stocks With The Lowe...   NaN  NaN       NaN   \n",
       "\n",
       "                         ...                          Listed  \\\n",
       "0                        ...                           109.0   \n",
       "1                        ...                            43.0   \n",
       "2                        ...                           110.0   \n",
       "3                        ...                           124.0   \n",
       "4                        ...                           140.0   \n",
       "\n",
       "  Tweet language (ISO 639-1)  \\\n",
       "0                         en   \n",
       "1                         en   \n",
       "2                         en   \n",
       "3                         de   \n",
       "4                         en   \n",
       "\n",
       "                                           Tweet Url Is a RT  \\\n",
       "0  http://www.twitter.com/scutify/status/74301166...   False   \n",
       "1  http://www.twitter.com/halifaxbroker/status/74...   False   \n",
       "2  http://www.twitter.com/TradeWithSuper/status/7...   False   \n",
       "3  http://www.twitter.com/WKRBNews/status/7429912...   False   \n",
       "4  http://www.twitter.com/ProVesting/status/74299...   False   \n",
       "\n",
       "   Original Tweet User Name  User Mentions  Hashtags  \\\n",
       "0                       NaN            NaN       NaN   \n",
       "1                       NaN            NaN  #FTSE100   \n",
       "2                       NaN            NaN       NaN   \n",
       "3                       NaN            NaN       NaN   \n",
       "4                       NaN            NaN       NaN   \n",
       "\n",
       "                         Symbols Media  \\\n",
       "0                 $AAL,$NVO,$SYF   NaN   \n",
       "1      $AAL,$ANTO,$SKY,$BKG,$BLT   NaN   \n",
       "2  $AAL,$DAL,$HPQ,$TTM,$UAL,$VLO   NaN   \n",
       "3                           $AAL   NaN   \n",
       "4                      $DAL,$AAL   NaN   \n",
       "\n",
       "                                                URLs  \n",
       "0  https://www.scutify.com/articles/2016-06-15-wh...  \n",
       "1                                                NaN  \n",
       "2  http://seekingalpha.com/article/3982103-5-larg...  \n",
       "3                              http://ift.tt/1UTFj1G  \n",
       "4  http://www.StockNewsWires.com/2016/06/15/dal-a...  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_excel(xls, header = 0,encoding='latin-1', sheet_name = \"Stream\")\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Add sentiment to each tweet using Vader\n",
    "Extract the tweet content from each tweet and run the sentimentScore -function to get the sentiment for each."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    Why American Airlines Group Inc $AAL, Novo Nor...\n",
       "1    Yesterday's top #FTSE100 fallers - Anglo Ameri...\n",
       "2    SA_QuickIdeas: 5 Large-Cap Stocks With The Low...\n",
       "3    JPMorgan Chase &amp; Co. Reiterates Underweigh...\n",
       "4    $DAL $AAL:\\n\\n5 Large-Cap Stocks With The Lowe...\n",
       "Name: Tweet content, dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Tweet = df['Tweet content']\n",
    "Tweet.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "def sentimentScore(Tweet):\n",
    "    analyzer = SentimentIntensityAnalyzer()\n",
    "    results = []\n",
    "    for sentence in Tweet:\n",
    "        vs = analyzer.polarity_scores(sentence)\n",
    "        print(\"Vader score: \" + str(vs))\n",
    "        #print(\"{: <65} {}\".format(sentence, str(vs))) \n",
    "        #NOTE! I blocked the second print command so the sentences are\n",
    "        #left out in the cell below, purely for clarity reasons\n",
    "        results.append(vs)\n",
    "    return results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Vader score: {'compound': -0.6249, 'neg': 0.186, 'pos': 0.0, 'neu': 0.814}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.101, 'neu': 0.899}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.157, 'pos': 0.0, 'neu': 0.843}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.224, 'pos': 0.0, 'neu': 0.776}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.139, 'pos': 0.0, 'neu': 0.861}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5267, 'neg': 0.145, 'pos': 0.0, 'neu': 0.855}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.104, 'pos': 0.0, 'neu': 0.896}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.101, 'neu': 0.899}\n",
      "Vader score: {'compound': -0.5563, 'neg': 0.217, 'pos': 0.0, 'neu': 0.783}\n",
      "Vader score: {'compound': -0.4215, 'neg': 0.113, 'pos': 0.0, 'neu': 0.887}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.16, 'pos': 0.0, 'neu': 0.84}\n",
      "Vader score: {'compound': -0.5719, 'neg': 0.27, 'pos': 0.0, 'neu': 0.73}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': -0.6249, 'neg': 0.267, 'pos': 0.0, 'neu': 0.733}\n",
      "Vader score: {'compound': -0.5256, 'neg': 0.184, 'pos': 0.0, 'neu': 0.816}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.104, 'neu': 0.896}\n",
      "Vader score: {'compound': -0.4215, 'neg': 0.113, 'pos': 0.0, 'neu': 0.887}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4215, 'neg': 0.113, 'pos': 0.0, 'neu': 0.887}\n",
      "Vader score: {'compound': -0.4215, 'neg': 0.113, 'pos': 0.0, 'neu': 0.887}\n",
      "Vader score: {'compound': -0.4215, 'neg': 0.118, 'pos': 0.0, 'neu': 0.882}\n",
      "Vader score: {'compound': -0.6249, 'neg': 0.231, 'pos': 0.0, 'neu': 0.769}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.113, 'neu': 0.887}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2846, 'neg': 0.067, 'pos': 0.104, 'neu': 0.829}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': -0.1531, 'neg': 0.152, 'pos': 0.118, 'neu': 0.73}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.6249, 'neg': 0.231, 'pos': 0.0, 'neu': 0.769}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3089, 'neg': 0.0, 'pos': 0.139, 'neu': 0.861}\n",
      "Vader score: {'compound': -0.6322, 'neg': 0.306, 'pos': 0.137, 'neu': 0.556}\n",
      "Vader score: {'compound': -0.0516, 'neg': 0.085, 'pos': 0.0, 'neu': 0.915}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2023, 'neg': 0.122, 'pos': 0.0, 'neu': 0.878}\n",
      "Vader score: {'compound': -0.6249, 'neg': 0.231, 'pos': 0.0, 'neu': 0.769}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.194, 'neu': 0.806}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.25, 'neg': 0.218, 'pos': 0.148, 'neu': 0.634}\n",
      "Vader score: {'compound': -0.8126, 'neg': 0.28, 'pos': 0.0, 'neu': 0.72}\n",
      "Vader score: {'compound': -0.6322, 'neg': 0.306, 'pos': 0.137, 'neu': 0.556}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5267, 'neg': 0.188, 'pos': 0.0, 'neu': 0.812}\n",
      "Vader score: {'compound': -0.6249, 'neg': 0.231, 'pos': 0.0, 'neu': 0.769}\n",
      "Vader score: {'compound': -0.6249, 'neg': 0.282, 'pos': 0.0, 'neu': 0.718}\n",
      "Vader score: {'compound': -0.6249, 'neg': 0.282, 'pos': 0.0, 'neu': 0.718}\n",
      "Vader score: {'compound': -0.6249, 'neg': 0.282, 'pos': 0.0, 'neu': 0.718}\n",
      "Vader score: {'compound': -0.6249, 'neg': 0.282, 'pos': 0.0, 'neu': 0.718}\n",
      "Vader score: {'compound': -0.6322, 'neg': 0.306, 'pos': 0.137, 'neu': 0.556}\n",
      "Vader score: {'compound': -0.25, 'neg': 0.218, 'pos': 0.148, 'neu': 0.634}\n",
      "Vader score: {'compound': -0.6322, 'neg': 0.306, 'pos': 0.137, 'neu': 0.556}\n",
      "Vader score: {'compound': -0.6322, 'neg': 0.306, 'pos': 0.137, 'neu': 0.556}\n",
      "Vader score: {'compound': -0.6322, 'neg': 0.306, 'pos': 0.137, 'neu': 0.556}\n",
      "Vader score: {'compound': -0.6322, 'neg': 0.306, 'pos': 0.137, 'neu': 0.556}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.049, 'neg': 0.153, 'pos': 0.122, 'neu': 0.725}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.128, 'neu': 0.872}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.115, 'pos': 0.0, 'neu': 0.885}\n",
      "Vader score: {'compound': -0.6966, 'neg': 0.32, 'pos': 0.135, 'neu': 0.546}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2235, 'neg': 0.0, 'pos': 0.146, 'neu': 0.854}\n",
      "Vader score: {'compound': -0.657, 'neg': 0.354, 'pos': 0.0, 'neu': 0.646}\n",
      "Vader score: {'compound': 0.6654, 'neg': 0.071, 'pos': 0.255, 'neu': 0.674}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.189, 'pos': 0.0, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.217, 'neu': 0.783}\n",
      "Vader score: {'compound': 0.6124, 'neg': 0.0, 'pos': 0.227, 'neu': 0.773}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.6597, 'neg': 0.0, 'pos': 0.351, 'neu': 0.649}\n",
      "Vader score: {'compound': -0.5719, 'neg': 0.32, 'pos': 0.0, 'neu': 0.68}\n",
      "Vader score: {'compound': -0.6486, 'neg': 0.238, 'pos': 0.0, 'neu': 0.762}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.13, 'pos': 0.0, 'neu': 0.87}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.18, 'pos': 0.0, 'neu': 0.82}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.196, 'pos': 0.0, 'neu': 0.804}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.18, 'pos': 0.0, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.203, 'neu': 0.797}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.13, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.6369, 'neg': 0.0, 'pos': 0.302, 'neu': 0.698}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.743, 'neg': 0.0, 'pos': 0.27, 'neu': 0.73}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.25, 'neg': 0.0, 'pos': 0.133, 'neu': 0.867}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.123, 'pos': 0.0, 'neu': 0.877}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.167, 'pos': 0.0, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.3384, 'neg': 0.0, 'pos': 0.166, 'neu': 0.834}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.0, 'pos': 0.136, 'neu': 0.864}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.259, 'pos': 0.0, 'neu': 0.741}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5994, 'neg': 0.243, 'pos': 0.077, 'neu': 0.681}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.136, 'neu': 0.864}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.136, 'neu': 0.864}\n",
      "Vader score: {'compound': -0.631, 'neg': 0.372, 'pos': 0.0, 'neu': 0.628}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.128, 'neg': 0.0, 'pos': 0.12, 'neu': 0.88}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.104, 'pos': 0.0, 'neu': 0.896}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5994, 'neg': 0.243, 'pos': 0.077, 'neu': 0.681}\n",
      "Vader score: {'compound': -0.5994, 'neg': 0.243, 'pos': 0.077, 'neu': 0.681}\n",
      "Vader score: {'compound': -0.5994, 'neg': 0.243, 'pos': 0.077, 'neu': 0.681}\n",
      "Vader score: {'compound': -0.5994, 'neg': 0.243, 'pos': 0.077, 'neu': 0.681}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.126, 'neu': 0.874}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.121, 'neu': 0.879}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.202, 'neu': 0.798}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.8513, 'neg': 0.0, 'pos': 0.304, 'neu': 0.696}\n",
      "Vader score: {'compound': -0.5719, 'neg': 0.388, 'pos': 0.0, 'neu': 0.612}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5423, 'neg': 0.0, 'pos': 0.28, 'neu': 0.72}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.157, 'pos': 0.0, 'neu': 0.843}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.157, 'pos': 0.0, 'neu': 0.843}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.135, 'pos': 0.0, 'neu': 0.865}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.2263, 'neg': 0.095, 'pos': 0.163, 'neu': 0.742}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.239, 'neu': 0.761}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.135, 'pos': 0.0, 'neu': 0.865}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.213, 'neu': 0.787}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.1531, 'neg': 0.082, 'pos': 0.0, 'neu': 0.918}\n",
      "Vader score: {'compound': 0.6369, 'neg': 0.0, 'pos': 0.174, 'neu': 0.826}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.104, 'pos': 0.0, 'neu': 0.896}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7184, 'neg': 0.0, 'pos': 0.353, 'neu': 0.647}\n",
      "Vader score: {'compound': 0.7184, 'neg': 0.0, 'pos': 0.353, 'neu': 0.647}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.178, 'neu': 0.822}\n",
      "Vader score: {'compound': 0.6369, 'neg': 0.0, 'pos': 0.174, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3792, 'neg': 0.242, 'pos': 0.256, 'neu': 0.502}\n",
      "Vader score: {'compound': 0.7599, 'neg': 0.075, 'pos': 0.333, 'neu': 0.592}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.8513, 'neg': 0.0, 'pos': 0.304, 'neu': 0.696}\n",
      "Vader score: {'compound': 0.8591, 'neg': 0.0, 'pos': 0.388, 'neu': 0.612}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.104, 'pos': 0.0, 'neu': 0.896}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.104, 'pos': 0.0, 'neu': 0.896}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.104, 'pos': 0.0, 'neu': 0.896}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.0, 'pos': 0.273, 'neu': 0.727}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.8591, 'neg': 0.0, 'pos': 0.388, 'neu': 0.612}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.104, 'pos': 0.0, 'neu': 0.896}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.162, 'neu': 0.838}\n",
      "Vader score: {'compound': 0.8591, 'neg': 0.0, 'pos': 0.388, 'neu': 0.612}\n",
      "Vader score: {'compound': 0.5423, 'neg': 0.0, 'pos': 0.241, 'neu': 0.759}\n",
      "Vader score: {'compound': 0.5423, 'neg': 0.0, 'pos': 0.241, 'neu': 0.759}\n",
      "Vader score: {'compound': 0.5423, 'neg': 0.0, 'pos': 0.241, 'neu': 0.759}\n",
      "Vader score: {'compound': 0.5423, 'neg': 0.0, 'pos': 0.28, 'neu': 0.72}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.104, 'pos': 0.0, 'neu': 0.896}\n",
      "Vader score: {'compound': 0.5423, 'neg': 0.0, 'pos': 0.241, 'neu': 0.759}\n",
      "Vader score: {'compound': 0.5423, 'neg': 0.0, 'pos': 0.212, 'neu': 0.788}\n",
      "Vader score: {'compound': 0.5423, 'neg': 0.0, 'pos': 0.28, 'neu': 0.72}\n",
      "Vader score: {'compound': 0.5423, 'neg': 0.0, 'pos': 0.212, 'neu': 0.788}\n",
      "Vader score: {'compound': 0.8591, 'neg': 0.0, 'pos': 0.388, 'neu': 0.612}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.104, 'pos': 0.0, 'neu': 0.896}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.104, 'pos': 0.0, 'neu': 0.896}\n",
      "Vader score: {'compound': 0.8591, 'neg': 0.0, 'pos': 0.422, 'neu': 0.578}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.116, 'pos': 0.0, 'neu': 0.884}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.104, 'pos': 0.0, 'neu': 0.896}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.104, 'pos': 0.0, 'neu': 0.896}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.104, 'pos': 0.0, 'neu': 0.896}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.104, 'pos': 0.0, 'neu': 0.896}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.104, 'pos': 0.0, 'neu': 0.896}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.104, 'pos': 0.0, 'neu': 0.896}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.116, 'pos': 0.0, 'neu': 0.884}\n",
      "Vader score: {'compound': -0.4404, 'neg': 0.132, 'pos': 0.0, 'neu': 0.868}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.252, 'neu': 0.748}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.226, 'neu': 0.774}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.375, 'neu': 0.625}\n",
      "Vader score: {'compound': -0.4404, 'neg': 0.266, 'pos': 0.0, 'neu': 0.734}\n",
      "Vader score: {'compound': -0.4404, 'neg': 0.182, 'pos': 0.0, 'neu': 0.818}\n",
      "Vader score: {'compound': -0.4404, 'neg': 0.182, 'pos': 0.0, 'neu': 0.818}\n",
      "Vader score: {'compound': -0.4404, 'neg': 0.182, 'pos': 0.0, 'neu': 0.818}\n",
      "Vader score: {'compound': -0.4404, 'neg': 0.182, 'pos': 0.0, 'neu': 0.818}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2023, 'neg': 0.265, 'pos': 0.0, 'neu': 0.735}\n",
      "Vader score: {'compound': -0.2023, 'neg': 0.31, 'pos': 0.0, 'neu': 0.69}\n",
      "Vader score: {'compound': 0.4767, 'neg': 0.0, 'pos': 0.171, 'neu': 0.829}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4767, 'neg': 0.0, 'pos': 0.215, 'neu': 0.785}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5423, 'neg': 0.0, 'pos': 0.241, 'neu': 0.759}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.368, 'neg': 0.0, 'pos': 0.163, 'neu': 0.837}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2411, 'neg': 0.131, 'pos': 0.0, 'neu': 0.869}\n",
      "Vader score: {'compound': 0.395, 'neg': 0.0, 'pos': 0.17, 'neu': 0.83}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.257, 'neu': 0.743}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.194, 'neu': 0.806}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3034, 'neg': 0.183, 'pos': 0.0, 'neu': 0.817}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.133, 'neu': 0.867}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.126, 'neu': 0.874}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1695, 'neg': 0.0, 'pos': 0.106, 'neu': 0.894}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6213, 'neg': 0.0, 'pos': 0.449, 'neu': 0.551}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.16, 'neu': 0.84}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.123, 'neu': 0.877}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.4767, 'neg': 0.0, 'pos': 0.237, 'neu': 0.763}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.226, 'neu': 0.774}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.1531, 'neg': 0.103, 'pos': 0.0, 'neu': 0.897}\n",
      "Vader score: {'compound': -0.1531, 'neg': 0.103, 'pos': 0.0, 'neu': 0.897}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.257, 'neu': 0.743}\n",
      "Vader score: {'compound': 0.4767, 'neg': 0.0, 'pos': 0.134, 'neu': 0.866}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4019, 'neg': 0.153, 'pos': 0.0, 'neu': 0.847}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.146, 'neu': 0.854}\n",
      "Vader score: {'compound': 0.6808, 'neg': 0.0, 'pos': 0.286, 'neu': 0.714}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.257, 'neu': 0.743}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.257, 'neu': 0.743}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.257, 'neu': 0.743}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.226, 'neu': 0.774}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6597, 'neg': 0.0, 'pos': 0.329, 'neu': 0.671}\n",
      "Vader score: {'compound': 0.6597, 'neg': 0.0, 'pos': 0.329, 'neu': 0.671}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.14, 'neu': 0.86}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.124, 'neu': 0.876}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7506, 'neg': 0.0, 'pos': 0.299, 'neu': 0.701}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.124, 'neu': 0.876}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.213, 'neu': 0.787}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.257, 'neu': 0.743}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.257, 'neu': 0.743}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.257, 'neu': 0.743}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.257, 'neu': 0.743}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.257, 'neu': 0.743}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': -0.4106, 'neg': 0.106, 'pos': 0.047, 'neu': 0.846}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.121, 'neu': 0.879}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.124, 'neu': 0.876}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6369, 'neg': 0.0, 'pos': 0.174, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.13, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.224, 'neu': 0.776}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.255, 'neu': 0.745}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.242, 'neu': 0.758}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.116, 'neu': 0.884}\n",
      "Vader score: {'compound': 0.7125, 'neg': 0.0, 'pos': 0.33, 'neu': 0.67}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6369, 'neg': 0.0, 'pos': 0.174, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.113, 'neu': 0.887}\n",
      "Vader score: {'compound': 0.6858, 'neg': 0.0, 'pos': 0.224, 'neu': 0.776}\n",
      "Vader score: {'compound': 0.8286, 'neg': 0.0, 'pos': 0.443, 'neu': 0.557}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.149, 'neu': 0.851}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.306, 'pos': 0.0, 'neu': 0.694}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.239, 'pos': 0.0, 'neu': 0.761}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6369, 'neg': 0.0, 'pos': 0.174, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.185, 'pos': 0.129, 'neu': 0.687}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.208, 'neu': 0.792}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.139, 'pos': 0.0, 'neu': 0.861}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.208, 'neu': 0.792}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.178, 'pos': 0.0, 'neu': 0.822}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.208, 'neu': 0.792}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.178, 'pos': 0.0, 'neu': 0.822}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.208, 'neu': 0.792}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.208, 'neu': 0.792}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.101, 'neu': 0.899}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.173, 'neu': 0.827}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.6124, 'neg': 0.312, 'pos': 0.0, 'neu': 0.688}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.14, 'pos': 0.118, 'neu': 0.742}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.194, 'neu': 0.806}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.8531, 'neg': 0.0, 'pos': 0.431, 'neu': 0.569}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5859, 'neg': 0.244, 'pos': 0.0, 'neu': 0.756}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1396, 'neg': 0.113, 'pos': 0.137, 'neu': 0.75}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.137, 'neu': 0.863}\n",
      "Vader score: {'compound': -0.0516, 'neg': 0.098, 'pos': 0.0, 'neu': 0.902}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.178, 'pos': 0.0, 'neu': 0.822}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.8064, 'neg': 0.0, 'pos': 0.315, 'neu': 0.685}\n",
      "Vader score: {'compound': 0.6351, 'neg': 0.0, 'pos': 0.276, 'neu': 0.724}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.196, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.152, 'neu': 0.848}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0258, 'neg': 0.0, 'pos': 0.061, 'neu': 0.939}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.223, 'neu': 0.777}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.189, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.174, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.25, 'neg': 0.122, 'pos': 0.187, 'neu': 0.691}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.223, 'pos': 0.133, 'neu': 0.644}\n",
      "Vader score: {'compound': 0.7964, 'neg': 0.0, 'pos': 0.392, 'neu': 0.608}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6705, 'neg': 0.0, 'pos': 0.256, 'neu': 0.744}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6705, 'neg': 0.0, 'pos': 0.256, 'neu': 0.744}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6705, 'neg': 0.0, 'pos': 0.256, 'neu': 0.744}\n",
      "Vader score: {'compound': 0.6705, 'neg': 0.0, 'pos': 0.256, 'neu': 0.744}\n",
      "Vader score: {'compound': 0.6705, 'neg': 0.0, 'pos': 0.282, 'neu': 0.718}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.277, 'neu': 0.723}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.153, 'neu': 0.847}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.13, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4019, 'neg': 0.119, 'pos': 0.0, 'neu': 0.881}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.096, 'pos': 0.296, 'neu': 0.609}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2411, 'neg': 0.131, 'pos': 0.0, 'neu': 0.869}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4019, 'neg': 0.172, 'pos': 0.0, 'neu': 0.828}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.333, 'neu': 0.667}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.102, 'pos': 0.145, 'neu': 0.753}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5423, 'neg': 0.0, 'pos': 0.179, 'neu': 0.821}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0258, 'neg': 0.0, 'pos': 0.068, 'neu': 0.932}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.097, 'neu': 0.903}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.185, 'neu': 0.815}\n",
      "Vader score: {'compound': -0.3182, 'neg': 0.141, 'pos': 0.0, 'neu': 0.859}\n",
      "Vader score: {'compound': -0.5267, 'neg': 0.195, 'pos': 0.0, 'neu': 0.805}\n",
      "Vader score: {'compound': 0.6474, 'neg': 0.0, 'pos': 0.281, 'neu': 0.719}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.574, 'neu': 0.426}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3612, 'neg': 0.556, 'pos': 0.0, 'neu': 0.444}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.128, 'neu': 0.872}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.202, 'neu': 0.798}\n",
      "Vader score: {'compound': -0.3034, 'neg': 0.169, 'pos': 0.0, 'neu': 0.831}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.13, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.153, 'neu': 0.847}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.6077, 'neg': 0.234, 'pos': 0.0, 'neu': 0.766}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.128, 'neu': 0.872}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.252, 'neu': 0.748}\n",
      "Vader score: {'compound': -0.4588, 'neg': 0.193, 'pos': 0.061, 'neu': 0.746}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.235, 'neu': 0.765}\n",
      "Vader score: {'compound': -0.7003, 'neg': 0.234, 'pos': 0.0, 'neu': 0.766}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.16, 'neu': 0.84}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.508, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.091, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.083, 'neu': 0.917}\n",
      "Vader score: {'compound': -0.7003, 'neg': 0.234, 'pos': 0.0, 'neu': 0.766}\n",
      "Vader score: {'compound': 0.5994, 'neg': 0.0, 'pos': 0.246, 'neu': 0.754}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.091, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.091, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.091, 'neu': 0.909}\n",
      "Vader score: {'compound': -0.5106, 'neg': 0.216, 'pos': 0.0, 'neu': 0.784}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.7003, 'neg': 0.225, 'pos': 0.0, 'neu': 0.775}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.104, 'neu': 0.896}\n",
      "Vader score: {'compound': -0.7003, 'neg': 0.234, 'pos': 0.0, 'neu': 0.766}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.7003, 'neg': 0.244, 'pos': 0.0, 'neu': 0.756}\n",
      "Vader score: {'compound': -0.7003, 'neg': 0.234, 'pos': 0.0, 'neu': 0.766}\n",
      "Vader score: {'compound': -0.7003, 'neg': 0.234, 'pos': 0.0, 'neu': 0.766}\n",
      "Vader score: {'compound': -0.7003, 'neg': 0.234, 'pos': 0.0, 'neu': 0.766}\n",
      "Vader score: {'compound': -0.7003, 'neg': 0.234, 'pos': 0.0, 'neu': 0.766}\n",
      "Vader score: {'compound': -0.7003, 'neg': 0.234, 'pos': 0.0, 'neu': 0.766}\n",
      "Vader score: {'compound': -0.7003, 'neg': 0.234, 'pos': 0.0, 'neu': 0.766}\n",
      "Vader score: {'compound': -0.7003, 'neg': 0.254, 'pos': 0.0, 'neu': 0.746}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.139, 'pos': 0.0, 'neu': 0.861}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.168, 'pos': 0.147, 'neu': 0.684}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7959, 'neg': 0.0, 'pos': 0.321, 'neu': 0.679}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.149, 'pos': 0.0, 'neu': 0.851}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.249, 'neu': 0.751}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.508, 'neg': 0.0, 'pos': 0.17, 'neu': 0.83}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6369, 'neg': 0.0, 'pos': 0.198, 'neu': 0.802}\n",
      "Vader score: {'compound': 0.4574, 'neg': 0.0, 'pos': 0.158, 'neu': 0.842}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.128, 'neg': 0.149, 'pos': 0.19, 'neu': 0.661}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.189, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.216, 'neu': 0.784}\n",
      "Vader score: {'compound': 0.6369, 'neg': 0.0, 'pos': 0.302, 'neu': 0.698}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.286, 'neu': 0.714}\n",
      "Vader score: {'compound': 0.4574, 'neg': 0.0, 'pos': 0.15, 'neu': 0.85}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.136, 'neu': 0.864}\n",
      "Vader score: {'compound': 0.4767, 'neg': 0.0, 'pos': 0.307, 'neu': 0.693}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.236, 'neu': 0.764}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.292, 'neu': 0.708}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.292, 'neu': 0.708}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.292, 'neu': 0.708}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.292, 'neu': 0.708}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.32, 'neu': 0.68}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.292, 'neu': 0.708}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.355, 'neu': 0.645}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.139, 'pos': 0.0, 'neu': 0.861}\n",
      "Vader score: {'compound': 0.5267, 'neg': 0.0, 'pos': 0.152, 'neu': 0.848}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.137, 'neu': 0.863}\n",
      "Vader score: {'compound': 0.743, 'neg': 0.0, 'pos': 0.31, 'neu': 0.69}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.122, 'neu': 0.878}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.121, 'neu': 0.879}\n",
      "Vader score: {'compound': 0.7184, 'neg': 0.0, 'pos': 0.24, 'neu': 0.76}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.188, 'pos': 0.165, 'neu': 0.647}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.222, 'neu': 0.778}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.222, 'neu': 0.778}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.222, 'neu': 0.778}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.222, 'neu': 0.778}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.222, 'neu': 0.778}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.222, 'neu': 0.778}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.222, 'neu': 0.778}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.222, 'neu': 0.778}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.222, 'neu': 0.778}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.222, 'neu': 0.778}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.222, 'neu': 0.778}\n",
      "Vader score: {'compound': 0.4767, 'neg': 0.0, 'pos': 0.193, 'neu': 0.807}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.222, 'neu': 0.778}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.236, 'neu': 0.764}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.222, 'neu': 0.778}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.096, 'neu': 0.904}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.096, 'neu': 0.904}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.189, 'pos': 0.0, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.149, 'neu': 0.851}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.222, 'neu': 0.778}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.194, 'neu': 0.806}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5945, 'neg': 0.327, 'pos': 0.0, 'neu': 0.673}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6249, 'neg': 0.166, 'pos': 0.437, 'neu': 0.397}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.236, 'neu': 0.764}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.188, 'pos': 0.165, 'neu': 0.647}\n",
      "Vader score: {'compound': 0.6369, 'neg': 0.0, 'pos': 0.257, 'neu': 0.743}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.259, 'pos': 0.0, 'neu': 0.741}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.27, 'neu': 0.73}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.073, 'neu': 0.927}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.07, 'neu': 0.93}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.168, 'pos': 0.089, 'neu': 0.743}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2815, 'neg': 0.101, 'pos': 0.178, 'neu': 0.721}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.095, 'pos': 0.0, 'neu': 0.905}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.104, 'pos': 0.0, 'neu': 0.896}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.084, 'neu': 0.916}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5423, 'neg': 0.0, 'pos': 0.189, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.6369, 'neg': 0.0, 'pos': 0.234, 'neu': 0.766}\n",
      "Vader score: {'compound': 0.743, 'neg': 0.0, 'pos': 0.31, 'neu': 0.69}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.236, 'neu': 0.764}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': -0.1779, 'neg': 0.221, 'pos': 0.168, 'neu': 0.611}\n",
      "Vader score: {'compound': -0.2263, 'neg': 0.137, 'pos': 0.0, 'neu': 0.863}\n",
      "Vader score: {'compound': -0.2263, 'neg': 0.137, 'pos': 0.0, 'neu': 0.863}\n",
      "Vader score: {'compound': -0.2263, 'neg': 0.16, 'pos': 0.0, 'neu': 0.84}\n",
      "Vader score: {'compound': 0.5423, 'neg': 0.0, 'pos': 0.333, 'neu': 0.667}\n",
      "Vader score: {'compound': 0.5423, 'neg': 0.0, 'pos': 0.333, 'neu': 0.667}\n",
      "Vader score: {'compound': 0.5423, 'neg': 0.0, 'pos': 0.333, 'neu': 0.667}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.6369, 'neg': 0.257, 'pos': 0.0, 'neu': 0.743}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': -0.6369, 'neg': 0.286, 'pos': 0.0, 'neu': 0.714}\n",
      "Vader score: {'compound': -0.6249, 'neg': 0.177, 'pos': 0.0, 'neu': 0.823}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.8513, 'neg': 0.0, 'pos': 0.304, 'neu': 0.696}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.111, 'pos': 0.095, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.6369, 'neg': 0.342, 'pos': 0.0, 'neu': 0.658}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.139, 'pos': 0.0, 'neu': 0.861}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.124, 'pos': 0.107, 'neu': 0.769}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.205, 'pos': 0.0, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.6808, 'neg': 0.337, 'pos': 0.0, 'neu': 0.663}\n",
      "Vader score: {'compound': -0.6808, 'neg': 0.337, 'pos': 0.0, 'neu': 0.663}\n",
      "Vader score: {'compound': -0.4939, 'neg': 0.176, 'pos': 0.0, 'neu': 0.824}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.096, 'neu': 0.904}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.202, 'neu': 0.798}\n",
      "Vader score: {'compound': -0.4939, 'neg': 0.176, 'pos': 0.0, 'neu': 0.824}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.202, 'neu': 0.798}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4939, 'neg': 0.176, 'pos': 0.0, 'neu': 0.824}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.213, 'neu': 0.787}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.252, 'neu': 0.748}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4199, 'neg': 0.0, 'pos': 0.237, 'neu': 0.763}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.189, 'neu': 0.811}\n",
      "Vader score: {'compound': -0.3612, 'neg': 0.143, 'pos': 0.0, 'neu': 0.857}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3612, 'neg': 0.143, 'pos': 0.0, 'neu': 0.857}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.189, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4939, 'neg': 0.198, 'pos': 0.0, 'neu': 0.802}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6588, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.6588, 'neg': 0.0, 'pos': 0.226, 'neu': 0.774}\n",
      "Vader score: {'compound': -0.3981, 'neg': 0.124, 'pos': 0.0, 'neu': 0.876}\n",
      "Vader score: {'compound': -0.7035, 'neg': 0.383, 'pos': 0.0, 'neu': 0.617}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.202, 'neu': 0.798}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.219, 'neu': 0.781}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.202, 'neu': 0.798}\n",
      "Vader score: {'compound': -0.3182, 'neg': 0.19, 'pos': 0.099, 'neu': 0.711}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.0258, 'neg': 0.183, 'pos': 0.132, 'neu': 0.685}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.056, 'pos': 0.0, 'neu': 0.944}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.073, 'neu': 0.927}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.058, 'pos': 0.0, 'neu': 0.942}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.112, 'neu': 0.888}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.112, 'neu': 0.888}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.112, 'neu': 0.888}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.073, 'neu': 0.927}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.202, 'neu': 0.798}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.073, 'neu': 0.927}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.189, 'pos': 0.0, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.182, 'neu': 0.818}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.073, 'neu': 0.927}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.182, 'neu': 0.818}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.073, 'neu': 0.927}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.073, 'neu': 0.927}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.079, 'neu': 0.921}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.195, 'neu': 0.805}\n",
      "Vader score: {'compound': -0.2023, 'neg': 0.122, 'pos': 0.0, 'neu': 0.878}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3182, 'neg': 0.119, 'pos': 0.0, 'neu': 0.881}\n",
      "Vader score: {'compound': -0.3182, 'neg': 0.133, 'pos': 0.0, 'neu': 0.867}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5326, 'neg': 0.357, 'pos': 0.0, 'neu': 0.643}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.112, 'neu': 0.888}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.108, 'neu': 0.892}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5719, 'neg': 0.188, 'pos': 0.0, 'neu': 0.812}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.073, 'neu': 0.927}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.073, 'neu': 0.927}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.073, 'neu': 0.927}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.079, 'neu': 0.921}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.091, 'pos': 0.0, 'neu': 0.909}\n",
      "Vader score: {'compound': -0.6418, 'neg': 0.515, 'pos': 0.0, 'neu': 0.485}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.34, 'neg': 0.167, 'pos': 0.0, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0258, 'neg': 0.367, 'pos': 0.38, 'neu': 0.253}\n",
      "Vader score: {'compound': -0.2023, 'neg': 0.167, 'pos': 0.0, 'neu': 0.833}\n",
      "Vader score: {'compound': -0.2263, 'neg': 0.192, 'pos': 0.0, 'neu': 0.808}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3612, 'neg': 0.122, 'pos': 0.0, 'neu': 0.878}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.115, 'neu': 0.885}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.6552, 'neg': 0.4, 'pos': 0.161, 'neu': 0.439}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.136, 'neu': 0.864}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.136, 'neu': 0.864}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.2255, 'neg': 0.0, 'pos': 0.091, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.237, 'neu': 0.763}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.13, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.2255, 'neg': 0.0, 'pos': 0.1, 'neu': 0.9}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.13, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.124, 'neu': 0.876}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.137, 'neu': 0.863}\n",
      "Vader score: {'compound': 0.4173, 'neg': 0.0, 'pos': 0.284, 'neu': 0.716}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.5267, 'neg': 0.0, 'pos': 0.221, 'neu': 0.779}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.187, 'neu': 0.813}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.187, 'neu': 0.813}\n",
      "Vader score: {'compound': 0.7783, 'neg': 0.0, 'pos': 0.327, 'neu': 0.673}\n",
      "Vader score: {'compound': 0.7783, 'neg': 0.0, 'pos': 0.327, 'neu': 0.673}\n",
      "Vader score: {'compound': 0.7783, 'neg': 0.0, 'pos': 0.327, 'neu': 0.673}\n",
      "Vader score: {'compound': 0.7783, 'neg': 0.0, 'pos': 0.327, 'neu': 0.673}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.172, 'neu': 0.828}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.172, 'neu': 0.828}\n",
      "Vader score: {'compound': 0.743, 'neg': 0.062, 'pos': 0.28, 'neu': 0.658}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.139, 'neu': 0.861}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.128, 'pos': 0.0, 'neu': 0.872}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.157, 'pos': 0.0, 'neu': 0.843}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.281, 'neu': 0.719}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.281, 'neu': 0.719}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.191, 'neu': 0.809}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': -0.0516, 'neg': 0.136, 'pos': 0.123, 'neu': 0.741}\n",
      "Vader score: {'compound': -0.0258, 'neg': 0.098, 'pos': 0.094, 'neu': 0.809}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.6808, 'neg': 0.0, 'pos': 0.412, 'neu': 0.588}\n",
      "Vader score: {'compound': 0.8513, 'neg': 0.0, 'pos': 0.304, 'neu': 0.696}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4404, 'neg': 0.326, 'pos': 0.0, 'neu': 0.674}\n",
      "Vader score: {'compound': -0.4404, 'neg': 0.367, 'pos': 0.0, 'neu': 0.633}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.216, 'neu': 0.784}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.121, 'neu': 0.879}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.224, 'neu': 0.776}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.224, 'neu': 0.776}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.318, 'neu': 0.682}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.333, 'neu': 0.667}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.122, 'neu': 0.878}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.116, 'neu': 0.884}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.116, 'neu': 0.884}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.116, 'neu': 0.884}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.122, 'neu': 0.878}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.116, 'neu': 0.884}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.091, 'pos': 0.0, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.122, 'neu': 0.878}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.122, 'neu': 0.878}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.116, 'neu': 0.884}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.116, 'neu': 0.884}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.122, 'neu': 0.878}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.116, 'neu': 0.884}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.116, 'neu': 0.884}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.116, 'neu': 0.884}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.097, 'pos': 0.0, 'neu': 0.903}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.113, 'pos': 0.0, 'neu': 0.887}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.113, 'pos': 0.0, 'neu': 0.887}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.113, 'pos': 0.0, 'neu': 0.887}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2023, 'neg': 0.205, 'pos': 0.0, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.224, 'neu': 0.776}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.224, 'neu': 0.776}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.206, 'pos': 0.0, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.104, 'neu': 0.896}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.145, 'pos': 0.0, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.0516, 'neg': 0.133, 'pos': 0.145, 'neu': 0.723}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.191, 'neu': 0.809}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.157, 'neu': 0.843}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.157, 'neu': 0.843}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6486, 'neg': 0.0, 'pos': 0.31, 'neu': 0.69}\n",
      "Vader score: {'compound': 0.507, 'neg': 0.0, 'pos': 0.179, 'neu': 0.821}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.18, 'pos': 0.0, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.104, 'pos': 0.0, 'neu': 0.896}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.087, 'pos': 0.0, 'neu': 0.913}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.0, 'pos': 0.273, 'neu': 0.727}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6486, 'neg': 0.0, 'pos': 0.31, 'neu': 0.69}\n",
      "Vader score: {'compound': 0.6486, 'neg': 0.0, 'pos': 0.31, 'neu': 0.69}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.6486, 'neg': 0.0, 'pos': 0.344, 'neu': 0.656}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5719, 'neg': 0.198, 'pos': 0.0, 'neu': 0.802}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.231, 'neu': 0.769}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5147, 'neg': 0.0, 'pos': 0.126, 'neu': 0.874}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.153, 'neu': 0.847}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.189, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1677, 'neg': 0.248, 'pos': 0.334, 'neu': 0.418}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.099, 'pos': 0.0, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.209, 'neu': 0.791}\n",
      "Vader score: {'compound': 0.8513, 'neg': 0.0, 'pos': 0.304, 'neu': 0.696}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1867, 'neg': 0.0, 'pos': 0.098, 'neu': 0.902}\n",
      "Vader score: {'compound': -0.5719, 'neg': 0.222, 'pos': 0.0, 'neu': 0.778}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.0516, 'neg': 0.079, 'pos': 0.0, 'neu': 0.921}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.172, 'neu': 0.828}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.306, 'pos': 0.0, 'neu': 0.694}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.281, 'neu': 0.719}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.178, 'neu': 0.822}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.1, 'pos': 0.15, 'neu': 0.75}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4703, 'neg': 0.0, 'pos': 0.139, 'neu': 0.861}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.875, 'neg': 0.0, 'pos': 0.333, 'neu': 0.667}\n",
      "Vader score: {'compound': 0.0516, 'neg': 0.141, 'pos': 0.154, 'neu': 0.705}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2755, 'neg': 0.1, 'pos': 0.0, 'neu': 0.9}\n",
      "Vader score: {'compound': -0.2263, 'neg': 0.147, 'pos': 0.0, 'neu': 0.853}\n",
      "Vader score: {'compound': -0.2263, 'neg': 0.147, 'pos': 0.0, 'neu': 0.853}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.259, 'neu': 0.741}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.128, 'pos': 0.0, 'neu': 0.872}\n",
      "Vader score: {'compound': -0.1531, 'neg': 0.138, 'pos': 0.0, 'neu': 0.862}\n",
      "Vader score: {'compound': -0.1531, 'neg': 0.138, 'pos': 0.0, 'neu': 0.862}\n",
      "Vader score: {'compound': -0.1531, 'neg': 0.118, 'pos': 0.0, 'neu': 0.882}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.101, 'pos': 0.163, 'neu': 0.736}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.101, 'pos': 0.163, 'neu': 0.736}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.138, 'neu': 0.862}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.152, 'neu': 0.848}\n",
      "Vader score: {'compound': -0.3828, 'neg': 0.216, 'pos': 0.12, 'neu': 0.664}\n",
      "Vader score: {'compound': -0.1531, 'neg': 0.118, 'pos': 0.0, 'neu': 0.882}\n",
      "Vader score: {'compound': -0.1531, 'neg': 0.118, 'pos': 0.0, 'neu': 0.882}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3828, 'neg': 0.201, 'pos': 0.112, 'neu': 0.687}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.121, 'pos': 0.0, 'neu': 0.879}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.262, 'pos': 0.0, 'neu': 0.738}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.314, 'pos': 0.0, 'neu': 0.686}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.194, 'neu': 0.806}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.136, 'pos': 0.0, 'neu': 0.864}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.202, 'neu': 0.798}\n",
      "Vader score: {'compound': 0.368, 'neg': 0.0, 'pos': 0.163, 'neu': 0.837}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7269, 'neg': 0.0, 'pos': 0.441, 'neu': 0.559}\n",
      "Vader score: {'compound': 0.6124, 'neg': 0.0, 'pos': 0.2, 'neu': 0.8}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.116, 'pos': 0.0, 'neu': 0.884}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.11, 'pos': 0.0, 'neu': 0.89}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5267, 'neg': 0.0, 'pos': 0.274, 'neu': 0.726}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.177, 'pos': 0.22, 'neu': 0.603}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.6369, 'neg': 0.0, 'pos': 0.276, 'neu': 0.724}\n",
      "Vader score: {'compound': 0.6369, 'neg': 0.0, 'pos': 0.276, 'neu': 0.724}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4215, 'neg': 0.141, 'pos': 0.0, 'neu': 0.859}\n",
      "Vader score: {'compound': 0.6588, 'neg': 0.097, 'pos': 0.301, 'neu': 0.602}\n",
      "Vader score: {'compound': -0.4215, 'neg': 0.157, 'pos': 0.0, 'neu': 0.843}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7213, 'neg': 0.09, 'pos': 0.35, 'neu': 0.56}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.061, 'pos': 0.238, 'neu': 0.701}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.16, 'neu': 0.84}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': -0.5859, 'neg': 0.324, 'pos': 0.0, 'neu': 0.676}\n",
      "Vader score: {'compound': 0.7048, 'neg': 0.0, 'pos': 0.295, 'neu': 0.705}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.8513, 'neg': 0.0, 'pos': 0.304, 'neu': 0.696}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6652, 'neg': 0.0, 'pos': 0.312, 'neu': 0.688}\n",
      "Vader score: {'compound': -0.5859, 'neg': 0.304, 'pos': 0.0, 'neu': 0.696}\n",
      "Vader score: {'compound': -0.5859, 'neg': 0.324, 'pos': 0.0, 'neu': 0.676}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.8481, 'neg': 0.0, 'pos': 0.38, 'neu': 0.62}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.8481, 'neg': 0.0, 'pos': 0.38, 'neu': 0.62}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.8481, 'neg': 0.0, 'pos': 0.38, 'neu': 0.62}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.8481, 'neg': 0.0, 'pos': 0.38, 'neu': 0.62}\n",
      "Vader score: {'compound': 0.8481, 'neg': 0.0, 'pos': 0.414, 'neu': 0.586}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.123, 'pos': 0.0, 'neu': 0.877}\n",
      "Vader score: {'compound': -0.7579, 'neg': 0.684, 'pos': 0.0, 'neu': 0.316}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.172, 'neu': 0.828}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.172, 'neu': 0.828}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0258, 'neg': 0.186, 'pos': 0.194, 'neu': 0.62}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.157, 'neu': 0.843}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.157, 'neu': 0.843}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': -0.6486, 'neg': 0.306, 'pos': 0.0, 'neu': 0.694}\n",
      "Vader score: {'compound': 0.4995, 'neg': 0.087, 'pos': 0.275, 'neu': 0.638}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.286, 'neu': 0.714}\n",
      "Vader score: {'compound': 0.4824, 'neg': 0.0, 'pos': 0.194, 'neu': 0.806}\n",
      "Vader score: {'compound': 0.4824, 'neg': 0.0, 'pos': 0.194, 'neu': 0.806}\n",
      "Vader score: {'compound': 0.4995, 'neg': 0.087, 'pos': 0.275, 'neu': 0.638}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.286, 'neu': 0.714}\n",
      "Vader score: {'compound': 0.4118, 'neg': 0.096, 'pos': 0.247, 'neu': 0.658}\n",
      "Vader score: {'compound': 0.4118, 'neg': 0.096, 'pos': 0.247, 'neu': 0.658}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4118, 'neg': 0.101, 'pos': 0.261, 'neu': 0.638}\n",
      "Vader score: {'compound': 0.4118, 'neg': 0.115, 'pos': 0.295, 'neu': 0.59}\n",
      "Vader score: {'compound': 0.4995, 'neg': 0.082, 'pos': 0.26, 'neu': 0.658}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.304, 'neu': 0.696}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.6486, 'neg': 0.306, 'pos': 0.0, 'neu': 0.694}\n",
      "Vader score: {'compound': 0.4767, 'neg': 0.1, 'pos': 0.204, 'neu': 0.697}\n",
      "Vader score: {'compound': 0.4003, 'neg': 0.0, 'pos': 0.183, 'neu': 0.817}\n",
      "Vader score: {'compound': -0.6486, 'neg': 0.325, 'pos': 0.0, 'neu': 0.675}\n",
      "Vader score: {'compound': -0.6486, 'neg': 0.306, 'pos': 0.0, 'neu': 0.694}\n",
      "Vader score: {'compound': -0.6486, 'neg': 0.346, 'pos': 0.0, 'neu': 0.654}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.198, 'neu': 0.802}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.209, 'neu': 0.791}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.222, 'neu': 0.778}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.125, 'pos': 0.307, 'neu': 0.568}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.12, 'pos': 0.0, 'neu': 0.88}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.123, 'neu': 0.877}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3867, 'neg': 0.0, 'pos': 0.149, 'neu': 0.851}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.8513, 'neg': 0.0, 'pos': 0.304, 'neu': 0.696}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.34, 'neg': 0.103, 'pos': 0.0, 'neu': 0.897}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.12, 'pos': 0.0, 'neu': 0.88}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.191, 'neu': 0.809}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.107, 'neu': 0.893}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.191, 'neu': 0.809}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.107, 'neu': 0.893}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.107, 'neu': 0.893}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.107, 'neu': 0.893}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.107, 'neu': 0.893}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.107, 'neu': 0.893}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.107, 'neu': 0.893}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.118, 'neu': 0.882}\n",
      "Vader score: {'compound': 0.507, 'neg': 0.0, 'pos': 0.179, 'neu': 0.821}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0258, 'neg': 0.0, 'pos': 0.064, 'neu': 0.936}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.122, 'neu': 0.878}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.216, 'neu': 0.784}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.155, 'pos': 0.0, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.13, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.124, 'neu': 0.876}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.765, 'neg': 0.0, 'pos': 0.409, 'neu': 0.591}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2235, 'neg': 0.112, 'pos': 0.0, 'neu': 0.888}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0258, 'neg': 0.0, 'pos': 0.058, 'neu': 0.942}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5423, 'neg': 0.0, 'pos': 0.243, 'neu': 0.757}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0258, 'neg': 0.0, 'pos': 0.055, 'neu': 0.945}\n",
      "Vader score: {'compound': 0.0258, 'neg': 0.0, 'pos': 0.055, 'neu': 0.945}\n",
      "Vader score: {'compound': 0.0258, 'neg': 0.0, 'pos': 0.058, 'neu': 0.942}\n",
      "Vader score: {'compound': 0.0258, 'neg': 0.0, 'pos': 0.055, 'neu': 0.945}\n",
      "Vader score: {'compound': 0.0258, 'neg': 0.0, 'pos': 0.061, 'neu': 0.939}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.115, 'pos': 0.0, 'neu': 0.885}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.8176, 'neg': 0.279, 'pos': 0.0, 'neu': 0.721}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.138, 'neu': 0.862}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.146, 'neu': 0.854}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.107, 'neu': 0.893}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.122, 'neu': 0.878}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6249, 'neg': 0.0, 'pos': 0.338, 'neu': 0.662}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.098, 'neu': 0.902}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.098, 'neu': 0.902}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3612, 'neg': 0.116, 'pos': 0.0, 'neu': 0.884}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4215, 'neg': 0.167, 'pos': 0.0, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.6633, 'neg': 0.0, 'pos': 0.312, 'neu': 0.688}\n",
      "Vader score: {'compound': 0.8074, 'neg': 0.0, 'pos': 0.422, 'neu': 0.578}\n",
      "Vader score: {'compound': 0.8074, 'neg': 0.0, 'pos': 0.422, 'neu': 0.578}\n",
      "Vader score: {'compound': 0.8074, 'neg': 0.0, 'pos': 0.422, 'neu': 0.578}\n",
      "Vader score: {'compound': 0.8074, 'neg': 0.0, 'pos': 0.422, 'neu': 0.578}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.8074, 'neg': 0.0, 'pos': 0.422, 'neu': 0.578}\n",
      "Vader score: {'compound': 0.8074, 'neg': 0.0, 'pos': 0.422, 'neu': 0.578}\n",
      "Vader score: {'compound': 0.8074, 'neg': 0.0, 'pos': 0.422, 'neu': 0.578}\n",
      "Vader score: {'compound': 0.8074, 'neg': 0.0, 'pos': 0.422, 'neu': 0.578}\n",
      "Vader score: {'compound': 0.8074, 'neg': 0.0, 'pos': 0.422, 'neu': 0.578}\n",
      "Vader score: {'compound': 0.8074, 'neg': 0.0, 'pos': 0.422, 'neu': 0.578}\n",
      "Vader score: {'compound': 0.4767, 'neg': 0.0, 'pos': 0.22, 'neu': 0.78}\n",
      "Vader score: {'compound': 0.4767, 'neg': 0.0, 'pos': 0.22, 'neu': 0.78}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7983, 'neg': 0.0, 'pos': 0.367, 'neu': 0.633}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.278, 'neu': 0.722}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.126, 'neu': 0.874}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.117, 'pos': 0.101, 'neu': 0.782}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4389, 'neg': 0.0, 'pos': 0.112, 'neu': 0.888}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.268, 'neu': 0.732}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3612, 'neg': 0.2, 'pos': 0.0, 'neu': 0.8}\n",
      "Vader score: {'compound': 0.8513, 'neg': 0.0, 'pos': 0.304, 'neu': 0.696}\n",
      "Vader score: {'compound': -0.1901, 'neg': 0.119, 'pos': 0.0, 'neu': 0.881}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.0516, 'neg': 0.144, 'pos': 0.135, 'neu': 0.721}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.0516, 'neg': 0.138, 'pos': 0.129, 'neu': 0.733}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.132, 'pos': 0.113, 'neu': 0.755}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.196, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.196, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4912, 'neg': 0.0, 'pos': 0.126, 'neu': 0.874}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.157, 'neu': 0.843}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2263, 'neg': 0.0, 'pos': 0.112, 'neu': 0.888}\n",
      "Vader score: {'compound': 0.2263, 'neg': 0.0, 'pos': 0.112, 'neu': 0.888}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.225, 'neu': 0.775}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.1531, 'neg': 0.096, 'pos': 0.0, 'neu': 0.904}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4389, 'neg': 0.0, 'pos': 0.126, 'neu': 0.874}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.196, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.4203, 'neg': 0.079, 'pos': 0.137, 'neu': 0.784}\n",
      "Vader score: {'compound': 0.4389, 'neg': 0.0, 'pos': 0.116, 'neu': 0.884}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4389, 'neg': 0.0, 'pos': 0.112, 'neu': 0.888}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4389, 'neg': 0.0, 'pos': 0.121, 'neu': 0.879}\n",
      "Vader score: {'compound': 0.4912, 'neg': 0.0, 'pos': 0.126, 'neu': 0.874}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4585, 'neg': 0.187, 'pos': 0.0, 'neu': 0.813}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6249, 'neg': 0.0, 'pos': 0.362, 'neu': 0.638}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.4912, 'neg': 0.0, 'pos': 0.126, 'neu': 0.874}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.231, 'pos': 0.0, 'neu': 0.769}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.231, 'neu': 0.769}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4585, 'neg': 0.2, 'pos': 0.0, 'neu': 0.8}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7096, 'neg': 0.0, 'pos': 0.204, 'neu': 0.796}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.136, 'neu': 0.864}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.136, 'neu': 0.864}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.211, 'neu': 0.789}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.8984, 'neg': 0.0, 'pos': 0.48, 'neu': 0.52}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.278, 'neu': 0.722}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.076, 'neu': 0.924}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.079, 'neu': 0.921}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.079, 'neu': 0.921}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.079, 'neu': 0.921}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.079, 'neu': 0.921}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5106, 'neg': 0.268, 'pos': 0.0, 'neu': 0.732}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4019, 'neg': 0.213, 'pos': 0.0, 'neu': 0.787}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.153, 'neu': 0.847}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.153, 'neu': 0.847}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.13, 'pos': 0.0, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.239, 'neu': 0.761}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.104, 'pos': 0.0, 'neu': 0.896}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.115, 'pos': 0.0, 'neu': 0.885}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.8462, 'neg': 0.0, 'pos': 0.364, 'neu': 0.636}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2023, 'neg': 0.122, 'pos': 0.0, 'neu': 0.878}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6908, 'neg': 0.0, 'pos': 0.199, 'neu': 0.801}\n",
      "Vader score: {'compound': 0.6908, 'neg': 0.0, 'pos': 0.199, 'neu': 0.801}\n",
      "Vader score: {'compound': 0.6908, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.6997, 'neg': 0.0, 'pos': 0.225, 'neu': 0.775}\n",
      "Vader score: {'compound': 0.6997, 'neg': 0.0, 'pos': 0.225, 'neu': 0.775}\n",
      "Vader score: {'compound': -0.4019, 'neg': 0.213, 'pos': 0.0, 'neu': 0.787}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7579, 'neg': 0.0, 'pos': 0.245, 'neu': 0.755}\n",
      "Vader score: {'compound': 0.5423, 'neg': 0.0, 'pos': 0.226, 'neu': 0.774}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.123, 'pos': 0.0, 'neu': 0.877}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.111, 'neu': 0.889}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.244, 'neu': 0.756}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.225, 'neu': 0.775}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.123, 'pos': 0.0, 'neu': 0.877}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.179, 'neu': 0.821}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6808, 'neg': 0.0, 'pos': 0.337, 'neu': 0.663}\n",
      "Vader score: {'compound': 0.6808, 'neg': 0.0, 'pos': 0.337, 'neu': 0.663}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.123, 'pos': 0.0, 'neu': 0.877}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.13, 'pos': 0.0, 'neu': 0.87}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.13, 'pos': 0.0, 'neu': 0.87}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.13, 'pos': 0.0, 'neu': 0.87}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.13, 'pos': 0.0, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.6808, 'neg': 0.0, 'pos': 0.359, 'neu': 0.641}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.769, 'neg': 0.066, 'pos': 0.344, 'neu': 0.59}\n",
      "Vader score: {'compound': 0.3848, 'neg': 0.179, 'pos': 0.269, 'neu': 0.552}\n",
      "Vader score: {'compound': -0.2023, 'neg': 0.31, 'pos': 0.0, 'neu': 0.69}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.225, 'neu': 0.775}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6705, 'neg': 0.0, 'pos': 0.282, 'neu': 0.718}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.116, 'pos': 0.0, 'neu': 0.884}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.116, 'pos': 0.0, 'neu': 0.884}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.13, 'pos': 0.0, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.802, 'neg': 0.247, 'pos': 0.0, 'neu': 0.753}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.189, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.107, 'neu': 0.893}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.9442, 'neg': 0.0, 'pos': 0.486, 'neu': 0.514}\n",
      "Vader score: {'compound': -0.0516, 'neg': 0.112, 'pos': 0.101, 'neu': 0.787}\n",
      "Vader score: {'compound': 0.9509, 'neg': 0.0, 'pos': 0.514, 'neu': 0.486}\n",
      "Vader score: {'compound': 0.6369, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.6478, 'neg': 0.0, 'pos': 0.249, 'neu': 0.751}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7269, 'neg': 0.0, 'pos': 0.441, 'neu': 0.559}\n",
      "Vader score: {'compound': 0.7269, 'neg': 0.0, 'pos': 0.441, 'neu': 0.559}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6705, 'neg': 0.0, 'pos': 0.244, 'neu': 0.756}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.095, 'pos': 0.0, 'neu': 0.905}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.196, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.079, 'neu': 0.921}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.189, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0129, 'neg': 0.0, 'pos': 0.052, 'neu': 0.948}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.202, 'neu': 0.798}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.083, 'neu': 0.917}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5106, 'neg': 0.13, 'pos': 0.0, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.324, 'neu': 0.676}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.203, 'neu': 0.797}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.8625, 'neg': 0.444, 'pos': 0.0, 'neu': 0.556}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.184, 'neu': 0.816}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.213, 'neu': 0.787}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.202, 'neu': 0.798}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7178, 'neg': 0.0, 'pos': 0.231, 'neu': 0.769}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6486, 'neg': 0.0, 'pos': 0.306, 'neu': 0.694}\n",
      "Vader score: {'compound': 0.6486, 'neg': 0.0, 'pos': 0.306, 'neu': 0.694}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.765, 'neg': 0.0, 'pos': 0.409, 'neu': 0.591}\n",
      "Vader score: {'compound': 0.765, 'neg': 0.0, 'pos': 0.388, 'neu': 0.612}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.091, 'pos': 0.0, 'neu': 0.909}\n",
      "Vader score: {'compound': -0.4215, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': -0.4215, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': -0.4215, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': -0.4215, 'neg': 0.167, 'pos': 0.0, 'neu': 0.833}\n",
      "Vader score: {'compound': -0.4215, 'neg': 0.16, 'pos': 0.0, 'neu': 0.84}\n",
      "Vader score: {'compound': -0.4215, 'neg': 0.16, 'pos': 0.0, 'neu': 0.84}\n",
      "Vader score: {'compound': -0.1531, 'neg': 0.103, 'pos': 0.0, 'neu': 0.897}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4404, 'neg': 0.1, 'pos': 0.0, 'neu': 0.9}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6249, 'neg': 0.0, 'pos': 0.227, 'neu': 0.773}\n",
      "Vader score: {'compound': -0.5994, 'neg': 0.233, 'pos': 0.073, 'neu': 0.694}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5994, 'neg': 0.233, 'pos': 0.073, 'neu': 0.694}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2263, 'neg': 0.0, 'pos': 0.112, 'neu': 0.888}\n",
      "Vader score: {'compound': 0.2263, 'neg': 0.0, 'pos': 0.112, 'neu': 0.888}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2263, 'neg': 0.0, 'pos': 0.112, 'neu': 0.888}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.128, 'neu': 0.872}\n",
      "Vader score: {'compound': 0.2263, 'neg': 0.0, 'pos': 0.119, 'neu': 0.881}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.091, 'pos': 0.0, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.8225, 'neg': 0.301, 'pos': 0.0, 'neu': 0.699}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.115, 'neu': 0.885}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.145, 'pos': 0.13, 'neu': 0.725}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.144, 'neu': 0.856}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.121, 'neu': 0.879}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.121, 'neu': 0.879}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.121, 'neu': 0.879}\n",
      "Vader score: {'compound': -0.5267, 'neg': 0.145, 'pos': 0.0, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.235, 'neu': 0.765}\n",
      "Vader score: {'compound': -0.5719, 'neg': 0.171, 'pos': 0.0, 'neu': 0.829}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5719, 'neg': 0.171, 'pos': 0.0, 'neu': 0.829}\n",
      "Vader score: {'compound': -0.5719, 'neg': 0.179, 'pos': 0.0, 'neu': 0.821}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4588, 'neg': 0.115, 'pos': 0.0, 'neu': 0.885}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.091, 'pos': 0.0, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.121, 'neu': 0.879}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.121, 'neu': 0.879}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.135, 'neu': 0.865}\n",
      "Vader score: {'compound': 0.2263, 'neg': 0.0, 'pos': 0.275, 'neu': 0.725}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.105, 'pos': 0.105, 'neu': 0.789}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.128, 'neu': 0.872}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.121, 'neu': 0.879}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.144, 'neu': 0.856}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.144, 'neu': 0.856}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.121, 'neu': 0.879}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.121, 'neu': 0.879}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.121, 'neu': 0.879}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.121, 'neu': 0.879}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.144, 'neu': 0.856}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.128, 'neu': 0.872}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.121, 'neu': 0.879}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.144, 'neu': 0.856}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.121, 'neu': 0.879}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.135, 'neu': 0.865}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.121, 'neu': 0.879}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.121, 'neu': 0.879}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.121, 'neu': 0.879}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.144, 'neu': 0.856}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.144, 'neu': 0.856}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.135, 'neu': 0.865}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.144, 'neu': 0.856}\n",
      "Vader score: {'compound': 0.2944, 'neg': 0.0, 'pos': 0.166, 'neu': 0.834}\n",
      "Vader score: {'compound': 0.1027, 'neg': 0.079, 'pos': 0.094, 'neu': 0.827}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2023, 'neg': 0.167, 'pos': 0.0, 'neu': 0.833}\n",
      "Vader score: {'compound': -0.4019, 'neg': 0.403, 'pos': 0.0, 'neu': 0.597}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.155, 'pos': 0.0, 'neu': 0.845}\n",
      "Vader score: {'compound': -0.2411, 'neg': 0.131, 'pos': 0.0, 'neu': 0.869}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.055, 'pos': 0.0, 'neu': 0.945}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': -0.5423, 'neg': 0.28, 'pos': 0.0, 'neu': 0.72}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.235, 'neu': 0.765}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.375, 'neu': 0.625}\n",
      "Vader score: {'compound': -0.7717, 'neg': 0.34, 'pos': 0.0, 'neu': 0.66}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': -0.0516, 'neg': 0.166, 'pos': 0.125, 'neu': 0.709}\n",
      "Vader score: {'compound': 0.6478, 'neg': 0.068, 'pos': 0.293, 'neu': 0.638}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.0, 'pos': 0.214, 'neu': 0.786}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4939, 'neg': 0.16, 'pos': 0.0, 'neu': 0.84}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': -0.2023, 'neg': 0.122, 'pos': 0.0, 'neu': 0.878}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6705, 'neg': 0.0, 'pos': 0.268, 'neu': 0.732}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7845, 'neg': 0.0, 'pos': 0.418, 'neu': 0.582}\n",
      "Vader score: {'compound': 0.7845, 'neg': 0.0, 'pos': 0.418, 'neu': 0.582}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4588, 'neg': 0.158, 'pos': 0.0, 'neu': 0.842}\n",
      "Vader score: {'compound': -0.4588, 'neg': 0.176, 'pos': 0.0, 'neu': 0.824}\n",
      "Vader score: {'compound': 0.5904, 'neg': 0.0, 'pos': 0.287, 'neu': 0.713}\n",
      "Vader score: {'compound': 0.5904, 'neg': 0.0, 'pos': 0.287, 'neu': 0.713}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.096, 'neu': 0.904}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.162, 'neu': 0.838}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0772, 'neg': 0.0, 'pos': 0.071, 'neu': 0.929}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6249, 'neg': 0.0, 'pos': 0.231, 'neu': 0.769}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.16, 'neu': 0.84}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.189, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3182, 'neg': 0.119, 'pos': 0.0, 'neu': 0.881}\n",
      "Vader score: {'compound': 0.5994, 'neg': 0.09, 'pos': 0.265, 'neu': 0.645}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.259, 'pos': 0.0, 'neu': 0.741}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.107, 'neu': 0.893}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.128, 'pos': 0.0, 'neu': 0.872}\n",
      "Vader score: {'compound': -0.4404, 'neg': 0.326, 'pos': 0.0, 'neu': 0.674}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4404, 'neg': 0.42, 'pos': 0.0, 'neu': 0.58}\n",
      "Vader score: {'compound': -0.6597, 'neg': 0.348, 'pos': 0.0, 'neu': 0.652}\n",
      "Vader score: {'compound': -0.6597, 'neg': 0.348, 'pos': 0.0, 'neu': 0.652}\n",
      "Vader score: {'compound': -0.6597, 'neg': 0.314, 'pos': 0.0, 'neu': 0.686}\n",
      "Vader score: {'compound': -0.6597, 'neg': 0.348, 'pos': 0.0, 'neu': 0.652}\n",
      "Vader score: {'compound': -0.6597, 'neg': 0.348, 'pos': 0.0, 'neu': 0.652}\n",
      "Vader score: {'compound': -0.6597, 'neg': 0.348, 'pos': 0.0, 'neu': 0.652}\n",
      "Vader score: {'compound': -0.4678, 'neg': 0.213, 'pos': 0.0, 'neu': 0.787}\n",
      "Vader score: {'compound': 0.8513, 'neg': 0.0, 'pos': 0.304, 'neu': 0.696}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.109, 'neu': 0.891}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.343, 'neu': 0.657}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.146, 'neu': 0.854}\n",
      "Vader score: {'compound': -0.6249, 'neg': 0.24, 'pos': 0.0, 'neu': 0.76}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.123, 'pos': 0.0, 'neu': 0.877}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.101, 'neu': 0.899}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.202, 'neu': 0.798}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.25, 'neg': 0.071, 'pos': 0.108, 'neu': 0.821}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.8176, 'neg': 0.0, 'pos': 0.436, 'neu': 0.564}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.157, 'neu': 0.843}\n",
      "Vader score: {'compound': 0.7712, 'neg': 0.063, 'pos': 0.253, 'neu': 0.684}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.293, 'neu': 0.707}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4767, 'neg': 0.313, 'pos': 0.0, 'neu': 0.687}\n",
      "Vader score: {'compound': 0.6369, 'neg': 0.0, 'pos': 0.342, 'neu': 0.658}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.375, 'neu': 0.625}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3384, 'neg': 0.0, 'pos': 0.094, 'neu': 0.906}\n",
      "Vader score: {'compound': 0.3384, 'neg': 0.0, 'pos': 0.094, 'neu': 0.906}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3612, 'neg': 0.172, 'pos': 0.0, 'neu': 0.828}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.155, 'pos': 0.0, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.113, 'neu': 0.887}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.277, 'neu': 0.723}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.114, 'neu': 0.886}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.277, 'neu': 0.723}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.223, 'neu': 0.777}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.277, 'neu': 0.723}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.136, 'neu': 0.864}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.136, 'neu': 0.864}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.096, 'neu': 0.904}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.193, 'neu': 0.807}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.184, 'neu': 0.816}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.189, 'pos': 0.0, 'neu': 0.811}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.149, 'pos': 0.0, 'neu': 0.851}\n",
      "Vader score: {'compound': 0.4559, 'neg': 0.0, 'pos': 0.119, 'neu': 0.881}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3578, 'neg': 0.104, 'pos': 0.2, 'neu': 0.695}\n",
      "Vader score: {'compound': 0.5983, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1531, 'neg': 0.0, 'pos': 0.096, 'neu': 0.904}\n",
      "Vader score: {'compound': -0.5267, 'neg': 0.216, 'pos': 0.0, 'neu': 0.784}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.128, 'pos': 0.0, 'neu': 0.872}\n",
      "Vader score: {'compound': -0.6597, 'neg': 0.329, 'pos': 0.0, 'neu': 0.671}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.1, 'neu': 0.9}\n",
      "Vader score: {'compound': 0.7712, 'neg': 0.066, 'pos': 0.269, 'neu': 0.665}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.32, 'neu': 0.68}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.398, 'neu': 0.602}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.195, 'neu': 0.805}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.106, 'pos': 0.09, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.087, 'neu': 0.913}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.091, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.6114, 'neg': 0.0, 'pos': 0.307, 'neu': 0.693}\n",
      "Vader score: {'compound': -0.6908, 'neg': 0.341, 'pos': 0.0, 'neu': 0.659}\n",
      "Vader score: {'compound': -0.5986, 'neg': 0.222, 'pos': 0.089, 'neu': 0.688}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.117, 'pos': 0.101, 'neu': 0.782}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.104, 'pos': 0.0, 'neu': 0.896}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2263, 'neg': 0.112, 'pos': 0.0, 'neu': 0.888}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.194, 'neu': 0.806}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7206, 'neg': 0.0, 'pos': 0.334, 'neu': 0.666}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.8513, 'neg': 0.0, 'pos': 0.304, 'neu': 0.696}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.091, 'pos': 0.0, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.091, 'pos': 0.0, 'neu': 0.909}\n",
      "Vader score: {'compound': -0.2263, 'neg': 0.137, 'pos': 0.0, 'neu': 0.863}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.351, 'neu': 0.649}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.31, 'neu': 0.69}\n",
      "Vader score: {'compound': 0.7404, 'neg': 0.0, 'pos': 0.23, 'neu': 0.77}\n",
      "Vader score: {'compound': 0.7404, 'neg': 0.0, 'pos': 0.23, 'neu': 0.77}\n",
      "Vader score: {'compound': 0.7404, 'neg': 0.0, 'pos': 0.23, 'neu': 0.77}\n",
      "Vader score: {'compound': 0.7404, 'neg': 0.0, 'pos': 0.23, 'neu': 0.77}\n",
      "Vader score: {'compound': 0.7404, 'neg': 0.0, 'pos': 0.23, 'neu': 0.77}\n",
      "Vader score: {'compound': 0.7404, 'neg': 0.0, 'pos': 0.23, 'neu': 0.77}\n",
      "Vader score: {'compound': 0.7404, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': 0.4738, 'neg': 0.0, 'pos': 0.17, 'neu': 0.83}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.13, 'pos': 0.13, 'neu': 0.741}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.13, 'pos': 0.13, 'neu': 0.741}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.13, 'pos': 0.13, 'neu': 0.741}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.13, 'pos': 0.13, 'neu': 0.741}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.174, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.095, 'pos': 0.0, 'neu': 0.905}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.8513, 'neg': 0.0, 'pos': 0.304, 'neu': 0.696}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.13, 'pos': 0.13, 'neu': 0.741}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3716, 'neg': 0.0, 'pos': 0.124, 'neu': 0.876}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.263, 'neu': 0.737}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.13, 'pos': 0.13, 'neu': 0.741}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.13, 'pos': 0.13, 'neu': 0.741}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.143, 'pos': 0.143, 'neu': 0.714}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.231, 'pos': 0.0, 'neu': 0.769}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.278, 'neu': 0.722}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.177, 'neu': 0.823}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4423, 'neg': 0.241, 'pos': 0.116, 'neu': 0.644}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.051, 'pos': 0.0, 'neu': 0.949}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5423, 'neg': 0.212, 'pos': 0.0, 'neu': 0.788}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6705, 'neg': 0.0, 'pos': 0.244, 'neu': 0.756}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.091, 'pos': 0.0, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.1, 'neu': 0.9}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.412, 'pos': 0.0, 'neu': 0.588}\n",
      "Vader score: {'compound': -0.6696, 'neg': 0.333, 'pos': 0.0, 'neu': 0.667}\n",
      "Vader score: {'compound': 0.5267, 'neg': 0.0, 'pos': 0.524, 'neu': 0.476}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.189, 'pos': 0.0, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.791, 'neg': 0.121, 'pos': 0.475, 'neu': 0.404}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.25, 'neg': 0.0, 'pos': 0.118, 'neu': 0.882}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.139, 'neu': 0.861}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.743, 'neg': 0.0, 'pos': 0.326, 'neu': 0.674}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.194, 'neu': 0.806}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2411, 'neg': 0.131, 'pos': 0.0, 'neu': 0.869}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.189, 'pos': 0.0, 'neu': 0.811}\n",
      "Vader score: {'compound': -0.3612, 'neg': 0.2, 'pos': 0.0, 'neu': 0.8}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.11, 'pos': 0.0, 'neu': 0.89}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.235, 'neu': 0.765}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.072, 'pos': 0.179, 'neu': 0.749}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.072, 'pos': 0.179, 'neu': 0.749}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.072, 'pos': 0.179, 'neu': 0.749}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.072, 'pos': 0.179, 'neu': 0.749}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.077, 'pos': 0.192, 'neu': 0.732}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.104, 'pos': 0.0, 'neu': 0.896}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2023, 'neg': 0.122, 'pos': 0.0, 'neu': 0.878}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.128, 'neu': 0.872}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7983, 'neg': 0.0, 'pos': 0.367, 'neu': 0.633}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5499, 'neg': 0.0, 'pos': 0.228, 'neu': 0.772}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.098, 'neu': 0.902}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.5255, 'neg': 0.0, 'pos': 0.239, 'neu': 0.761}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.6249, 'neg': 0.389, 'pos': 0.0, 'neu': 0.611}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.158, 'pos': 0.0, 'neu': 0.842}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.162, 'neu': 0.838}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.158, 'pos': 0.0, 'neu': 0.842}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.2, 'pos': 0.0, 'neu': 0.8}\n",
      "Vader score: {'compound': 0.5216, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.5994, 'neg': 0.0, 'pos': 0.259, 'neu': 0.741}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.091, 'pos': 0.0, 'neu': 0.909}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6369, 'neg': 0.0, 'pos': 0.302, 'neu': 0.698}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.189, 'pos': 0.0, 'neu': 0.811}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.239, 'pos': 0.0, 'neu': 0.761}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.743, 'neg': 0.0, 'pos': 0.326, 'neu': 0.674}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2263, 'neg': 0.0, 'pos': 0.16, 'neu': 0.84}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.0, 'pos': 0.214, 'neu': 0.786}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7717, 'neg': 0.0, 'pos': 0.379, 'neu': 0.621}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.0, 'pos': 0.267, 'neu': 0.733}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.0, 'pos': 0.267, 'neu': 0.733}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.0, 'pos': 0.235, 'neu': 0.765}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5984, 'neg': 0.0, 'pos': 0.23, 'neu': 0.77}\n",
      "Vader score: {'compound': 0.6956, 'neg': 0.0, 'pos': 0.291, 'neu': 0.709}\n",
      "Vader score: {'compound': -0.4019, 'neg': 0.184, 'pos': 0.0, 'neu': 0.816}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.235, 'neu': 0.765}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.117, 'pos': 0.161, 'neu': 0.722}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7964, 'neg': 0.0, 'pos': 0.295, 'neu': 0.705}\n",
      "Vader score: {'compound': 0.4576, 'neg': 0.0, 'pos': 0.125, 'neu': 0.875}\n",
      "Vader score: {'compound': 0.5081, 'neg': 0.0, 'pos': 0.135, 'neu': 0.865}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.161, 'pos': 0.086, 'neu': 0.753}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.066, 'pos': 0.179, 'neu': 0.755}\n",
      "Vader score: {'compound': -0.1406, 'neg': 0.114, 'pos': 0.0, 'neu': 0.886}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.7096, 'neg': 0.747, 'pos': 0.0, 'neu': 0.253}\n",
      "Vader score: {'compound': 0.4199, 'neg': 0.0, 'pos': 0.149, 'neu': 0.851}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.203, 'neu': 0.797}\n",
      "Vader score: {'compound': -0.6369, 'neg': 0.321, 'pos': 0.0, 'neu': 0.679}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6249, 'neg': 0.0, 'pos': 0.254, 'neu': 0.746}\n",
      "Vader score: {'compound': -0.1779, 'neg': 0.235, 'pos': 0.155, 'neu': 0.61}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.34, 'neg': 0.254, 'pos': 0.0, 'neu': 0.746}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.124, 'neu': 0.876}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7783, 'neg': 0.0, 'pos': 0.355, 'neu': 0.645}\n",
      "Vader score: {'compound': 0.7783, 'neg': 0.0, 'pos': 0.271, 'neu': 0.729}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.061, 'pos': 0.19, 'neu': 0.748}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.34, 'neg': 0.298, 'pos': 0.0, 'neu': 0.702}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.091, 'pos': 0.0, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.235, 'neu': 0.765}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.061, 'pos': 0.19, 'neu': 0.748}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.262, 'pos': 0.5, 'neu': 0.238}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.189, 'pos': 0.0, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.091, 'neu': 0.909}\n",
      "Vader score: {'compound': -0.6808, 'neg': 0.211, 'pos': 0.0, 'neu': 0.789}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.189, 'pos': 0.0, 'neu': 0.811}\n",
      "Vader score: {'compound': -0.6808, 'neg': 0.203, 'pos': 0.0, 'neu': 0.797}\n",
      "Vader score: {'compound': -0.2023, 'neg': 0.205, 'pos': 0.0, 'neu': 0.795}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.16, 'pos': 0.0, 'neu': 0.84}\n",
      "Vader score: {'compound': 0.2144, 'neg': 0.0, 'pos': 0.104, 'neu': 0.896}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.194, 'neu': 0.806}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.096, 'neu': 0.904}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6124, 'neg': 0.0, 'pos': 0.312, 'neu': 0.688}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6124, 'neg': 0.0, 'pos': 0.312, 'neu': 0.688}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2023, 'neg': 0.122, 'pos': 0.0, 'neu': 0.878}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.124, 'neu': 0.876}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.122, 'neu': 0.878}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.265, 'neu': 0.735}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.265, 'neu': 0.735}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1665, 'neg': 0.093, 'pos': 0.125, 'neu': 0.782}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.121, 'pos': 0.0, 'neu': 0.879}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.173, 'pos': 0.1, 'neu': 0.727}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.122, 'neu': 0.878}\n",
      "Vader score: {'compound': -0.4019, 'neg': 0.252, 'pos': 0.0, 'neu': 0.748}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.189, 'pos': 0.0, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.252, 'neu': 0.748}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.122, 'neu': 0.878}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.194, 'neu': 0.806}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.132, 'neu': 0.868}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.116, 'neu': 0.884}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.116, 'neu': 0.884}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.116, 'neu': 0.884}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.132, 'neu': 0.868}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.127, 'neu': 0.873}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.172, 'neu': 0.828}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.359, 'neu': 0.641}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.116, 'neu': 0.884}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.128, 'neu': 0.872}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0258, 'neg': 0.129, 'pos': 0.135, 'neu': 0.736}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.135, 'neu': 0.865}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.136, 'pos': 0.0, 'neu': 0.864}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.118, 'neu': 0.882}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.344, 'pos': 0.0, 'neu': 0.656}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.208, 'pos': 0.0, 'neu': 0.792}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.259, 'pos': 0.0, 'neu': 0.741}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5984, 'neg': 0.0, 'pos': 0.261, 'neu': 0.739}\n",
      "Vader score: {'compound': 0.1695, 'neg': 0.0, 'pos': 0.156, 'neu': 0.844}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6369, 'neg': 0.0, 'pos': 0.375, 'neu': 0.625}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.224, 'neu': 0.776}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4939, 'neg': 0.198, 'pos': 0.0, 'neu': 0.802}\n",
      "Vader score: {'compound': -0.4939, 'neg': 0.219, 'pos': 0.0, 'neu': 0.781}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6114, 'neg': 0.0, 'pos': 0.222, 'neu': 0.778}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.185, 'neu': 0.815}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.185, 'neu': 0.815}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5411, 'neg': 0.0, 'pos': 0.304, 'neu': 0.696}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.13, 'pos': 0.0, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5766, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.8513, 'neg': 0.0, 'pos': 0.304, 'neu': 0.696}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.16, 'neu': 0.84}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.217, 'neu': 0.783}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.217, 'neu': 0.783}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.239, 'neu': 0.761}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.1531, 'neg': 0.138, 'pos': 0.0, 'neu': 0.862}\n",
      "Vader score: {'compound': -0.1531, 'neg': 0.151, 'pos': 0.0, 'neu': 0.849}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.185, 'neu': 0.815}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.185, 'neu': 0.815}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.148, 'neu': 0.852}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': -0.0516, 'neg': 0.136, 'pos': 0.125, 'neu': 0.739}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.34, 'neg': 0.211, 'pos': 0.0, 'neu': 0.789}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.094, 'neu': 0.906}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.094, 'neu': 0.906}\n",
      "Vader score: {'compound': -0.0516, 'neg': 0.091, 'pos': 0.0, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.141, 'neu': 0.859}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.507, 'neg': 0.0, 'pos': 0.179, 'neu': 0.821}\n",
      "Vader score: {'compound': -0.5994, 'neg': 0.245, 'pos': 0.0, 'neu': 0.755}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.115, 'pos': 0.0, 'neu': 0.885}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.141, 'neu': 0.859}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.153, 'neu': 0.847}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4767, 'neg': 0.0, 'pos': 0.171, 'neu': 0.829}\n",
      "Vader score: {'compound': 0.6369, 'neg': 0.0, 'pos': 0.215, 'neu': 0.785}\n",
      "Vader score: {'compound': 0.0772, 'neg': 0.1, 'pos': 0.112, 'neu': 0.788}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.107, 'neu': 0.893}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.107, 'neu': 0.893}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.122, 'neu': 0.878}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.216, 'neu': 0.784}\n",
      "Vader score: {'compound': -0.5267, 'neg': 0.253, 'pos': 0.0, 'neu': 0.747}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.242, 'pos': 0.319, 'neu': 0.44}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.08, 'pos': 0.0, 'neu': 0.92}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5766, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.231, 'neu': 0.769}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5766, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.5766, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.5766, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.5766, 'neg': 0.0, 'pos': 0.157, 'neu': 0.843}\n",
      "Vader score: {'compound': -0.5423, 'neg': 0.266, 'pos': 0.094, 'neu': 0.64}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3252, 'neg': 0.115, 'pos': 0.057, 'neu': 0.829}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.244, 'neu': 0.756}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.211, 'neu': 0.789}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3182, 'neg': 0.161, 'pos': 0.0, 'neu': 0.839}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.244, 'neu': 0.756}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.2, 'neu': 0.8}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.0, 'pos': 0.134, 'neu': 0.866}\n",
      "Vader score: {'compound': -0.3182, 'neg': 0.161, 'pos': 0.0, 'neu': 0.839}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.244, 'neu': 0.756}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3182, 'neg': 0.161, 'pos': 0.0, 'neu': 0.839}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.244, 'neu': 0.756}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.286, 'neu': 0.714}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.291, 'neu': 0.709}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.2, 'neu': 0.8}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.235, 'neu': 0.765}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.245, 'pos': 0.0, 'neu': 0.755}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.9769, 'neg': 0.0, 'pos': 0.496, 'neu': 0.504}\n",
      "Vader score: {'compound': -0.4588, 'neg': 0.412, 'pos': 0.0, 'neu': 0.588}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.233, 'pos': 0.156, 'neu': 0.611}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7351, 'neg': 0.08, 'pos': 0.314, 'neu': 0.606}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.194, 'neu': 0.806}\n",
      "Vader score: {'compound': 0.504, 'neg': 0.0, 'pos': 0.12, 'neu': 0.88}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4926, 'neg': 0.0, 'pos': 0.158, 'neu': 0.842}\n",
      "Vader score: {'compound': 0.4417, 'neg': 0.0, 'pos': 0.244, 'neu': 0.756}\n",
      "Vader score: {'compound': -0.5267, 'neg': 0.327, 'pos': 0.0, 'neu': 0.673}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.239, 'pos': 0.0, 'neu': 0.761}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.157, 'pos': 0.0, 'neu': 0.843}\n",
      "Vader score: {'compound': -0.2755, 'neg': 0.193, 'pos': 0.116, 'neu': 0.691}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.594, 'neg': 0.0, 'pos': 0.325, 'neu': 0.675}\n",
      "Vader score: {'compound': 0.4748, 'neg': 0.063, 'pos': 0.146, 'neu': 0.791}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.8941, 'neg': 0.0, 'pos': 0.434, 'neu': 0.566}\n",
      "Vader score: {'compound': -0.1531, 'neg': 0.187, 'pos': 0.147, 'neu': 0.667}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.6249, 'neg': 0.0, 'pos': 0.255, 'neu': 0.745}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.293, 'neu': 0.707}\n",
      "Vader score: {'compound': -0.5242, 'neg': 0.458, 'pos': 0.0, 'neu': 0.542}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.403, 'neu': 0.597}\n",
      "Vader score: {'compound': -0.3182, 'neg': 0.187, 'pos': 0.0, 'neu': 0.813}\n",
      "Vader score: {'compound': -0.34, 'neg': 0.375, 'pos': 0.0, 'neu': 0.625}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.34, 'neg': 0.231, 'pos': 0.144, 'neu': 0.625}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.231, 'pos': 0.0, 'neu': 0.769}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.189, 'pos': 0.0, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5859, 'neg': 0.211, 'pos': 0.0, 'neu': 0.789}\n",
      "Vader score: {'compound': -0.5859, 'neg': 0.211, 'pos': 0.0, 'neu': 0.789}\n",
      "Vader score: {'compound': -0.5859, 'neg': 0.231, 'pos': 0.0, 'neu': 0.769}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3612, 'neg': 0.185, 'pos': 0.0, 'neu': 0.815}\n",
      "Vader score: {'compound': -0.3612, 'neg': 0.185, 'pos': 0.0, 'neu': 0.815}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.091, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.096, 'neu': 0.904}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.217, 'neu': 0.783}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.085, 'pos': 0.0, 'neu': 0.915}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5423, 'neg': 0.241, 'pos': 0.0, 'neu': 0.759}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.076, 'pos': 0.16, 'neu': 0.764}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.217, 'neu': 0.783}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.483, 'neu': 0.517}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.194, 'neu': 0.806}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.217, 'neu': 0.783}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.0, 'pos': 0.108, 'neu': 0.892}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.0, 'pos': 0.108, 'neu': 0.892}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.175, 'neu': 0.825}\n",
      "Vader score: {'compound': -0.5719, 'neg': 0.227, 'pos': 0.0, 'neu': 0.773}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3182, 'neg': 0.187, 'pos': 0.0, 'neu': 0.813}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.194, 'neu': 0.806}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.194, 'neu': 0.806}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6908, 'neg': 0.0, 'pos': 0.322, 'neu': 0.678}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.091, 'pos': 0.0, 'neu': 0.909}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.111, 'pos': 0.0, 'neu': 0.889}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4404, 'neg': 0.153, 'pos': 0.0, 'neu': 0.847}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4995, 'neg': 0.145, 'pos': 0.0, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.0, 'pos': 0.159, 'neu': 0.841}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.0, 'pos': 0.159, 'neu': 0.841}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0772, 'neg': 0.137, 'pos': 0.153, 'neu': 0.71}\n",
      "Vader score: {'compound': 0.4836, 'neg': 0.0, 'pos': 0.116, 'neu': 0.884}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.189, 'pos': 0.0, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.087, 'neu': 0.913}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.101, 'neu': 0.899}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5719, 'neg': 0.439, 'pos': 0.0, 'neu': 0.561}\n",
      "Vader score: {'compound': -0.5719, 'neg': 0.54, 'pos': 0.0, 'neu': 0.46}\n",
      "Vader score: {'compound': -0.3612, 'neg': 0.172, 'pos': 0.0, 'neu': 0.828}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3612, 'neg': 0.172, 'pos': 0.0, 'neu': 0.828}\n",
      "Vader score: {'compound': -0.3612, 'neg': 0.2, 'pos': 0.0, 'neu': 0.8}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.153, 'neu': 0.847}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.202, 'neu': 0.798}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.184, 'neu': 0.816}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.184, 'neu': 0.816}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3612, 'neg': 0.185, 'pos': 0.0, 'neu': 0.815}\n",
      "Vader score: {'compound': -0.3612, 'neg': 0.152, 'pos': 0.0, 'neu': 0.848}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.114, 'pos': 0.179, 'neu': 0.707}\n",
      "Vader score: {'compound': 0.6908, 'neg': 0.0, 'pos': 0.322, 'neu': 0.678}\n",
      "Vader score: {'compound': -0.3612, 'neg': 0.185, 'pos': 0.0, 'neu': 0.815}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.114, 'neu': 0.886}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.114, 'neu': 0.886}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.0, 'pos': 0.102, 'neu': 0.898}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.0, 'pos': 0.102, 'neu': 0.898}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.096, 'neu': 0.904}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.107, 'neu': 0.893}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.122, 'neu': 0.878}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.122, 'neu': 0.878}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.114, 'neu': 0.886}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.122, 'neu': 0.878}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.114, 'neu': 0.886}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.122, 'neu': 0.878}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.368, 'neg': 0.0, 'pos': 0.144, 'neu': 0.856}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.0, 'pos': 0.124, 'neu': 0.876}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.368, 'neg': 0.0, 'pos': 0.163, 'neu': 0.837}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.13, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.202, 'neu': 0.798}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4466, 'neg': 0.0, 'pos': 0.134, 'neu': 0.866}\n",
      "Vader score: {'compound': -0.1531, 'neg': 0.065, 'pos': 0.0, 'neu': 0.935}\n",
      "Vader score: {'compound': 0.4466, 'neg': 0.0, 'pos': 0.134, 'neu': 0.866}\n",
      "Vader score: {'compound': 0.4466, 'neg': 0.0, 'pos': 0.134, 'neu': 0.866}\n",
      "Vader score: {'compound': 0.4466, 'neg': 0.0, 'pos': 0.147, 'neu': 0.853}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.172, 'neu': 0.828}\n",
      "Vader score: {'compound': -0.2023, 'neg': 0.141, 'pos': 0.0, 'neu': 0.859}\n",
      "Vader score: {'compound': -0.5651, 'neg': 0.148, 'pos': 0.0, 'neu': 0.852}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.202, 'neu': 0.798}\n",
      "Vader score: {'compound': -0.0113, 'neg': 0.208, 'pos': 0.206, 'neu': 0.585}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.1184, 'neg': 0.157, 'pos': 0.12, 'neu': 0.722}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.0258, 'neg': 0.046, 'pos': 0.0, 'neu': 0.954}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.0, 'pos': 0.108, 'neu': 0.892}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.145, 'pos': 0.0, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.27, 'neu': 0.73}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.142, 'neu': 0.858}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.147, 'neu': 0.853}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6808, 'neg': 0.0, 'pos': 0.412, 'neu': 0.588}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.25, 'neg': 0.0, 'pos': 0.133, 'neu': 0.867}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.107, 'neu': 0.893}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.178, 'neu': 0.822}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.157, 'neu': 0.843}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.157, 'neu': 0.843}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.1511, 'neg': 0.086, 'pos': 0.0, 'neu': 0.914}\n",
      "Vader score: {'compound': 0.4389, 'neg': 0.0, 'pos': 0.138, 'neu': 0.862}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.25, 'neg': 0.118, 'pos': 0.0, 'neu': 0.882}\n",
      "Vader score: {'compound': 0.743, 'neg': 0.0, 'pos': 0.326, 'neu': 0.674}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6908, 'neg': 0.0, 'pos': 0.322, 'neu': 0.678}\n",
      "Vader score: {'compound': 0.6908, 'neg': 0.0, 'pos': 0.322, 'neu': 0.678}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.191, 'pos': 0.0, 'neu': 0.809}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.224, 'pos': 0.0, 'neu': 0.776}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.829, 'neg': 0.314, 'pos': 0.069, 'neu': 0.617}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1593, 'neg': 0.108, 'pos': 0.133, 'neu': 0.759}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.115, 'pos': 0.0, 'neu': 0.885}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.128, 'pos': 0.0, 'neu': 0.872}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6597, 'neg': 0.0, 'pos': 0.329, 'neu': 0.671}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4404, 'neg': 0.245, 'pos': 0.0, 'neu': 0.755}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6597, 'neg': 0.0, 'pos': 0.375, 'neu': 0.625}\n",
      "Vader score: {'compound': 0.368, 'neg': 0.0, 'pos': 0.144, 'neu': 0.856}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': -0.4404, 'neg': 0.262, 'pos': 0.0, 'neu': 0.738}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4019, 'neg': 0.124, 'pos': 0.0, 'neu': 0.876}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': -0.4404, 'neg': 0.262, 'pos': 0.0, 'neu': 0.738}\n",
      "Vader score: {'compound': -0.4404, 'neg': 0.262, 'pos': 0.0, 'neu': 0.738}\n",
      "Vader score: {'compound': -0.4404, 'neg': 0.262, 'pos': 0.0, 'neu': 0.738}\n",
      "Vader score: {'compound': -0.4404, 'neg': 0.262, 'pos': 0.0, 'neu': 0.738}\n",
      "Vader score: {'compound': -0.5423, 'neg': 0.189, 'pos': 0.0, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.755, 'neg': 0.301, 'pos': 0.0, 'neu': 0.699}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1593, 'neg': 0.128, 'pos': 0.158, 'neu': 0.713}\n",
      "Vader score: {'compound': 0.1593, 'neg': 0.117, 'pos': 0.144, 'neu': 0.738}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.189, 'pos': 0.0, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.743, 'neg': 0.0, 'pos': 0.326, 'neu': 0.674}\n",
      "Vader score: {'compound': -0.6633, 'neg': 0.33, 'pos': 0.0, 'neu': 0.67}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.145, 'pos': 0.0, 'neu': 0.855}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.143, 'pos': 0.0, 'neu': 0.857}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.145, 'pos': 0.0, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.168, 'pos': 0.221, 'neu': 0.611}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.265, 'neu': 0.735}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.079, 'neu': 0.921}\n",
      "Vader score: {'compound': 0.7531, 'neg': 0.0, 'pos': 0.275, 'neu': 0.725}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.109, 'neu': 0.891}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.8176, 'neg': 0.0, 'pos': 0.459, 'neu': 0.541}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.091, 'neu': 0.909}\n",
      "Vader score: {'compound': -0.1531, 'neg': 0.06, 'pos': 0.0, 'neu': 0.94}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.368, 'neg': 0.0, 'pos': 0.163, 'neu': 0.837}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.091, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.212, 'neu': 0.788}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.25, 'neg': 0.079, 'pos': 0.132, 'neu': 0.789}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.18, 'pos': 0.0, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5994, 'neg': 0.0, 'pos': 0.231, 'neu': 0.769}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6514, 'neg': 0.0, 'pos': 0.178, 'neu': 0.822}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.118, 'neu': 0.882}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7983, 'neg': 0.0, 'pos': 0.367, 'neu': 0.633}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.25, 'neg': 0.0, 'pos': 0.105, 'neu': 0.895}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.182, 'neu': 0.818}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.13, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3008, 'neg': 0.0, 'pos': 0.168, 'neu': 0.832}\n",
      "Vader score: {'compound': -0.1531, 'neg': 0.211, 'pos': 0.0, 'neu': 0.789}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.084, 'neu': 0.916}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.1, 'neu': 0.9}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.189, 'pos': 0.0, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.155, 'pos': 0.0, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.1531, 'neg': 0.127, 'pos': 0.0, 'neu': 0.873}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5267, 'neg': 0.236, 'pos': 0.0, 'neu': 0.764}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.109, 'neu': 0.891}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.131, 'pos': 0.181, 'neu': 0.688}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.244, 'neu': 0.756}\n",
      "Vader score: {'compound': -0.4588, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5994, 'neg': 0.253, 'pos': 0.08, 'neu': 0.667}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5994, 'neg': 0.253, 'pos': 0.08, 'neu': 0.667}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3612, 'neg': 0.294, 'pos': 0.0, 'neu': 0.706}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3535, 'neg': 0.0, 'pos': 0.159, 'neu': 0.841}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.231, 'neu': 0.769}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.109, 'neu': 0.891}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4939, 'neg': 0.286, 'pos': 0.0, 'neu': 0.714}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.109, 'neu': 0.891}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.109, 'neu': 0.891}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.179, 'neu': 0.821}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.109, 'neu': 0.891}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.141, 'neu': 0.859}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.109, 'neu': 0.891}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.116, 'pos': 0.0, 'neu': 0.884}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.109, 'neu': 0.891}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.161, 'neu': 0.839}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.109, 'neu': 0.891}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.099, 'pos': 0.0, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.109, 'neu': 0.891}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.6808, 'neg': 0.228, 'pos': 0.0, 'neu': 0.772}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.109, 'neu': 0.891}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0258, 'neg': 0.156, 'pos': 0.16, 'neu': 0.684}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.196, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7506, 'neg': 0.0, 'pos': 0.478, 'neu': 0.522}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.109, 'neu': 0.891}\n",
      "Vader score: {'compound': -0.5267, 'neg': 0.145, 'pos': 0.0, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7506, 'neg': 0.0, 'pos': 0.478, 'neu': 0.522}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2411, 'neg': 0.131, 'pos': 0.0, 'neu': 0.869}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.27, 'neu': 0.73}\n",
      "Vader score: {'compound': 0.0772, 'neg': 0.0, 'pos': 0.098, 'neu': 0.902}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.138, 'pos': 0.107, 'neu': 0.755}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.27, 'neu': 0.73}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.16, 'pos': 0.0, 'neu': 0.84}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.235, 'neu': 0.765}\n",
      "Vader score: {'compound': -0.4847, 'neg': 0.239, 'pos': 0.0, 'neu': 0.761}\n",
      "Vader score: {'compound': -0.4847, 'neg': 0.239, 'pos': 0.0, 'neu': 0.761}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.6249, 'neg': 0.272, 'pos': 0.0, 'neu': 0.728}\n",
      "Vader score: {'compound': 0.6808, 'neg': 0.0, 'pos': 0.272, 'neu': 0.728}\n",
      "Vader score: {'compound': 0.6808, 'neg': 0.0, 'pos': 0.272, 'neu': 0.728}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.119, 'neu': 0.881}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.109, 'neu': 0.891}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.104, 'pos': 0.137, 'neu': 0.758}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.123, 'pos': 0.0, 'neu': 0.877}\n",
      "Vader score: {'compound': -0.3182, 'neg': 0.126, 'pos': 0.0, 'neu': 0.874}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.104, 'pos': 0.137, 'neu': 0.758}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.123, 'pos': 0.0, 'neu': 0.877}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.104, 'pos': 0.137, 'neu': 0.758}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.104, 'pos': 0.137, 'neu': 0.758}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.104, 'pos': 0.137, 'neu': 0.758}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3724, 'neg': 0.0, 'pos': 0.138, 'neu': 0.862}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.104, 'pos': 0.137, 'neu': 0.758}\n",
      "Vader score: {'compound': -0.6705, 'neg': 0.317, 'pos': 0.0, 'neu': 0.683}\n",
      "Vader score: {'compound': 0.0772, 'neg': 0.0, 'pos': 0.091, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.6705, 'neg': 0.0, 'pos': 0.244, 'neu': 0.756}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.111, 'pos': 0.153, 'neu': 0.737}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.087, 'pos': 0.225, 'neu': 0.688}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.189, 'pos': 0.0, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.104, 'pos': 0.137, 'neu': 0.758}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.104, 'pos': 0.137, 'neu': 0.758}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.104, 'pos': 0.137, 'neu': 0.758}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.104, 'pos': 0.137, 'neu': 0.758}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.104, 'pos': 0.137, 'neu': 0.758}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.104, 'pos': 0.137, 'neu': 0.758}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.104, 'pos': 0.137, 'neu': 0.758}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.149, 'neu': 0.851}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.104, 'pos': 0.137, 'neu': 0.758}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.104, 'pos': 0.137, 'neu': 0.758}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.115, 'pos': 0.152, 'neu': 0.733}\n",
      "Vader score: {'compound': 0.7506, 'neg': 0.0, 'pos': 0.516, 'neu': 0.484}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4767, 'neg': 0.193, 'pos': 0.0, 'neu': 0.807}\n",
      "Vader score: {'compound': -0.2023, 'neg': 0.177, 'pos': 0.0, 'neu': 0.823}\n",
      "Vader score: {'compound': -0.2023, 'neg': 0.177, 'pos': 0.0, 'neu': 0.823}\n",
      "Vader score: {'compound': -0.3612, 'neg': 0.185, 'pos': 0.0, 'neu': 0.815}\n",
      "Vader score: {'compound': -0.5267, 'neg': 0.139, 'pos': 0.0, 'neu': 0.861}\n",
      "Vader score: {'compound': -0.5267, 'neg': 0.175, 'pos': 0.0, 'neu': 0.825}\n",
      "Vader score: {'compound': -0.5267, 'neg': 0.152, 'pos': 0.0, 'neu': 0.848}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5267, 'neg': 0.195, 'pos': 0.0, 'neu': 0.805}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': -0.4404, 'neg': 0.127, 'pos': 0.0, 'neu': 0.873}\n",
      "Vader score: {'compound': -0.3182, 'neg': 0.173, 'pos': 0.0, 'neu': 0.827}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.141, 'neu': 0.859}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.113, 'pos': 0.0, 'neu': 0.887}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.113, 'pos': 0.0, 'neu': 0.887}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.286, 'pos': 0.0, 'neu': 0.714}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.286, 'pos': 0.0, 'neu': 0.714}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.15, 'pos': 0.207, 'neu': 0.643}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6713, 'neg': 0.0, 'pos': 0.269, 'neu': 0.731}\n",
      "Vader score: {'compound': 0.6369, 'neg': 0.0, 'pos': 0.302, 'neu': 0.698}\n",
      "Vader score: {'compound': -0.5267, 'neg': 0.152, 'pos': 0.0, 'neu': 0.848}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.146, 'neu': 0.854}\n",
      "Vader score: {'compound': 0.6705, 'neg': 0.0, 'pos': 0.244, 'neu': 0.756}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0772, 'neg': 0.0, 'pos': 0.115, 'neu': 0.885}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.095, 'pos': 0.0, 'neu': 0.905}\n",
      "Vader score: {'compound': 0.0772, 'neg': 0.151, 'pos': 0.176, 'neu': 0.672}\n",
      "Vader score: {'compound': 0.6705, 'neg': 0.0, 'pos': 0.268, 'neu': 0.732}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0772, 'neg': 0.0, 'pos': 0.106, 'neu': 0.894}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4329, 'neg': 0.0, 'pos': 0.111, 'neu': 0.889}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4215, 'neg': 0.16, 'pos': 0.096, 'neu': 0.745}\n",
      "Vader score: {'compound': -0.4215, 'neg': 0.223, 'pos': 0.134, 'neu': 0.644}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.209, 'neu': 0.791}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4019, 'neg': 0.474, 'pos': 0.0, 'neu': 0.526}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.219, 'neu': 0.781}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.219, 'neu': 0.781}\n",
      "Vader score: {'compound': 0.0258, 'neg': 0.21, 'pos': 0.219, 'neu': 0.571}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.6802, 'neg': 0.219, 'pos': 0.0, 'neu': 0.781}\n",
      "Vader score: {'compound': -0.3736, 'neg': 0.113, 'pos': 0.0, 'neu': 0.887}\n",
      "Vader score: {'compound': 0.6696, 'neg': 0.0, 'pos': 0.207, 'neu': 0.793}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.251, 'neu': 0.749}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.189, 'pos': 0.0, 'neu': 0.811}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.8122, 'neg': 0.0, 'pos': 0.456, 'neu': 0.544}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1813, 'neg': 0.125, 'pos': 0.202, 'neu': 0.672}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5267, 'neg': 0.274, 'pos': 0.0, 'neu': 0.726}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.126, 'neu': 0.874}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.098, 'neu': 0.902}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.098, 'neu': 0.902}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.197, 'neu': 0.803}\n",
      "Vader score: {'compound': -0.3612, 'neg': 0.115, 'pos': 0.0, 'neu': 0.885}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.098, 'neu': 0.902}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.168, 'pos': 0.221, 'neu': 0.611}\n",
      "Vader score: {'compound': 0.54, 'neg': 0.0, 'pos': 0.137, 'neu': 0.863}\n",
      "Vader score: {'compound': -0.4215, 'neg': 0.412, 'pos': 0.0, 'neu': 0.588}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.114, 'neu': 0.886}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.195, 'neu': 0.805}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.172, 'neu': 0.828}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.129, 'pos': 0.17, 'neu': 0.702}\n",
      "Vader score: {'compound': 0.7391, 'neg': 0.102, 'pos': 0.274, 'neu': 0.624}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.124, 'pos': 0.171, 'neu': 0.706}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.146, 'pos': 0.192, 'neu': 0.662}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.1, 'pos': 0.257, 'neu': 0.643}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.126, 'neu': 0.874}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.141, 'neu': 0.859}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.168, 'pos': 0.221, 'neu': 0.611}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.293, 'neu': 0.707}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.131, 'pos': 0.181, 'neu': 0.688}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.108, 'pos': 0.108, 'neu': 0.784}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7506, 'neg': 0.0, 'pos': 0.291, 'neu': 0.709}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.162, 'neu': 0.838}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.156, 'neu': 0.844}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.156, 'neu': 0.844}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.182, 'neu': 0.818}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.182, 'neu': 0.818}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.182, 'neu': 0.818}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2263, 'neg': 0.244, 'pos': 0.0, 'neu': 0.756}\n",
      "Vader score: {'compound': -0.2263, 'neg': 0.244, 'pos': 0.0, 'neu': 0.756}\n",
      "Vader score: {'compound': 0.2263, 'neg': 0.102, 'pos': 0.168, 'neu': 0.73}\n",
      "Vader score: {'compound': 0.2263, 'neg': 0.102, 'pos': 0.168, 'neu': 0.73}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.13, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.6808, 'neg': 0.248, 'pos': 0.0, 'neu': 0.752}\n",
      "Vader score: {'compound': -0.6808, 'neg': 0.272, 'pos': 0.0, 'neu': 0.728}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.209, 'neu': 0.791}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.292, 'neu': 0.708}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.244, 'neu': 0.756}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.244, 'neu': 0.756}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.118, 'neu': 0.882}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.156, 'neu': 0.844}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.156, 'neu': 0.844}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.34, 'neg': 0.254, 'pos': 0.0, 'neu': 0.746}\n",
      "Vader score: {'compound': -0.34, 'neg': 0.254, 'pos': 0.0, 'neu': 0.746}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.116, 'neu': 0.884}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.191, 'neu': 0.809}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.191, 'neu': 0.809}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.127, 'neu': 0.873}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.101, 'neu': 0.899}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.109, 'neu': 0.891}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4767, 'neg': 0.272, 'pos': 0.0, 'neu': 0.728}\n",
      "Vader score: {'compound': -0.4767, 'neg': 0.272, 'pos': 0.0, 'neu': 0.728}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4574, 'neg': 0.0, 'pos': 0.158, 'neu': 0.842}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.109, 'neu': 0.891}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6588, 'neg': 0.0, 'pos': 0.35, 'neu': 0.65}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.109, 'neu': 0.891}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.113, 'pos': 0.0, 'neu': 0.887}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.113, 'pos': 0.0, 'neu': 0.887}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3612, 'neg': 0.185, 'pos': 0.0, 'neu': 0.815}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2235, 'neg': 0.0, 'pos': 0.127, 'neu': 0.873}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4767, 'neg': 0.339, 'pos': 0.0, 'neu': 0.661}\n",
      "Vader score: {'compound': -0.4767, 'neg': 0.339, 'pos': 0.0, 'neu': 0.661}\n",
      "Vader score: {'compound': -0.34, 'neg': 0.274, 'pos': 0.0, 'neu': 0.726}\n",
      "Vader score: {'compound': -0.34, 'neg': 0.274, 'pos': 0.0, 'neu': 0.726}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.104, 'pos': 0.0, 'neu': 0.896}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.104, 'pos': 0.0, 'neu': 0.896}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.156, 'pos': 0.137, 'neu': 0.708}\n",
      "Vader score: {'compound': -0.4767, 'neg': 0.369, 'pos': 0.0, 'neu': 0.631}\n",
      "Vader score: {'compound': -0.4767, 'neg': 0.291, 'pos': 0.0, 'neu': 0.709}\n",
      "Vader score: {'compound': -0.4767, 'neg': 0.255, 'pos': 0.0, 'neu': 0.745}\n",
      "Vader score: {'compound': -0.4767, 'neg': 0.255, 'pos': 0.0, 'neu': 0.745}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.219, 'neu': 0.781}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.194, 'neu': 0.806}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.128, 'neu': 0.872}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.189, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.157, 'neu': 0.843}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.189, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.516, 'neg': 0.251, 'pos': 0.477, 'neu': 0.271}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.1531, 'neg': 0.0, 'pos': 0.086, 'neu': 0.914}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.235, 'neu': 0.765}\n",
      "Vader score: {'compound': -0.7003, 'neg': 0.592, 'pos': 0.0, 'neu': 0.408}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7983, 'neg': 0.0, 'pos': 0.367, 'neu': 0.633}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.216, 'pos': 0.0, 'neu': 0.784}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.156, 'neu': 0.844}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.156, 'neu': 0.844}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.197, 'neu': 0.803}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4215, 'neg': 0.219, 'pos': 0.0, 'neu': 0.781}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.114, 'neu': 0.886}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.123, 'pos': 0.0, 'neu': 0.877}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.123, 'pos': 0.0, 'neu': 0.877}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.097, 'pos': 0.0, 'neu': 0.903}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.157, 'neu': 0.843}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5267, 'neg': 0.0, 'pos': 0.207, 'neu': 0.793}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.136, 'pos': 0.0, 'neu': 0.864}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.136, 'pos': 0.0, 'neu': 0.864}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6037, 'neg': 0.0, 'pos': 0.354, 'neu': 0.646}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.13, 'pos': 0.0, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.13, 'pos': 0.0, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0258, 'neg': 0.0, 'pos': 0.084, 'neu': 0.916}\n",
      "Vader score: {'compound': 0.0258, 'neg': 0.0, 'pos': 0.084, 'neu': 0.916}\n",
      "Vader score: {'compound': 0.368, 'neg': 0.0, 'pos': 0.174, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.368, 'neg': 0.0, 'pos': 0.174, 'neu': 0.826}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.104, 'pos': 0.0, 'neu': 0.896}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.113, 'pos': 0.0, 'neu': 0.887}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.368, 'neg': 0.0, 'pos': 0.163, 'neu': 0.837}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1111, 'neg': 0.102, 'pos': 0.123, 'neu': 0.775}\n",
      "Vader score: {'compound': 0.1111, 'neg': 0.113, 'pos': 0.136, 'neu': 0.751}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.128, 'neu': 0.872}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.128, 'neu': 0.872}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.128, 'neu': 0.872}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.128, 'neu': 0.872}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.14, 'pos': 0.124, 'neu': 0.736}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.182, 'neu': 0.818}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.128, 'neu': 0.872}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.128, 'neu': 0.872}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.141, 'neu': 0.859}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.113, 'pos': 0.0, 'neu': 0.887}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.113, 'pos': 0.0, 'neu': 0.887}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4404, 'neg': 0.226, 'pos': 0.113, 'neu': 0.661}\n",
      "Vader score: {'compound': 0.836, 'neg': 0.0, 'pos': 0.406, 'neu': 0.594}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.836, 'neg': 0.0, 'pos': 0.447, 'neu': 0.553}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.106, 'pos': 0.09, 'neu': 0.804}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.117, 'pos': 0.101, 'neu': 0.782}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0516, 'neg': 0.114, 'pos': 0.125, 'neu': 0.761}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.174, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.259, 'neu': 0.741}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.157, 'pos': 0.0, 'neu': 0.843}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.128, 'neu': 0.872}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.128, 'neu': 0.872}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': -0.3182, 'neg': 0.15, 'pos': 0.0, 'neu': 0.85}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.432, 'neu': 0.568}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4329, 'neg': 0.0, 'pos': 0.111, 'neu': 0.889}\n",
      "Vader score: {'compound': 0.4329, 'neg': 0.0, 'pos': 0.111, 'neu': 0.889}\n",
      "Vader score: {'compound': 0.4329, 'neg': 0.0, 'pos': 0.106, 'neu': 0.894}\n",
      "Vader score: {'compound': -0.5423, 'neg': 0.2, 'pos': 0.0, 'neu': 0.8}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5423, 'neg': 0.226, 'pos': 0.0, 'neu': 0.774}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2263, 'neg': 0.0, 'pos': 0.112, 'neu': 0.888}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.136, 'neu': 0.864}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.133, 'neu': 0.867}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2263, 'neg': 0.0, 'pos': 0.128, 'neu': 0.872}\n",
      "Vader score: {'compound': 0.5562, 'neg': 0.0, 'pos': 0.261, 'neu': 0.739}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7269, 'neg': 0.0, 'pos': 0.234, 'neu': 0.766}\n",
      "Vader score: {'compound': 0.7269, 'neg': 0.0, 'pos': 0.234, 'neu': 0.766}\n",
      "Vader score: {'compound': 0.7269, 'neg': 0.0, 'pos': 0.225, 'neu': 0.775}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.14, 'neu': 0.86}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2263, 'neg': 0.0, 'pos': 0.128, 'neu': 0.872}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.268, 'pos': 0.0, 'neu': 0.732}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.122, 'pos': 0.16, 'neu': 0.718}\n",
      "Vader score: {'compound': -0.5719, 'neg': 0.439, 'pos': 0.0, 'neu': 0.561}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': -0.5719, 'neg': 0.439, 'pos': 0.0, 'neu': 0.561}\n",
      "Vader score: {'compound': -0.5719, 'neg': 0.54, 'pos': 0.0, 'neu': 0.46}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.12, 'pos': 0.0, 'neu': 0.88}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.115, 'pos': 0.0, 'neu': 0.885}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.836, 'neg': 0.0, 'pos': 0.288, 'neu': 0.712}\n",
      "Vader score: {'compound': -0.3182, 'neg': 0.126, 'pos': 0.0, 'neu': 0.874}\n",
      "Vader score: {'compound': -0.3182, 'neg': 0.126, 'pos': 0.0, 'neu': 0.874}\n",
      "Vader score: {'compound': 0.3875, 'neg': 0.0, 'pos': 0.136, 'neu': 0.864}\n",
      "Vader score: {'compound': 0.3875, 'neg': 0.0, 'pos': 0.131, 'neu': 0.869}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.104, 'pos': 0.09, 'neu': 0.806}\n",
      "Vader score: {'compound': -0.3089, 'neg': 0.093, 'pos': 0.0, 'neu': 0.907}\n",
      "Vader score: {'compound': -0.3089, 'neg': 0.089, 'pos': 0.0, 'neu': 0.911}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.109, 'neu': 0.891}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2716, 'neg': 0.112, 'pos': 0.177, 'neu': 0.71}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.197, 'neu': 0.803}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.103, 'pos': 0.0, 'neu': 0.897}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2263, 'neg': 0.0, 'pos': 0.16, 'neu': 0.84}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': -0.34, 'neg': 0.188, 'pos': 0.113, 'neu': 0.699}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.109, 'neu': 0.891}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.0951, 'neg': 0.075, 'pos': 0.0, 'neu': 0.925}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.156, 'neu': 0.844}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.109, 'neu': 0.891}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.191, 'neu': 0.809}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4767, 'neg': 0.255, 'pos': 0.0, 'neu': 0.745}\n",
      "Vader score: {'compound': -0.4767, 'neg': 0.255, 'pos': 0.0, 'neu': 0.745}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.196, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.0516, 'neg': 0.175, 'pos': 0.19, 'neu': 0.635}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.096, 'neu': 0.904}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.109, 'neu': 0.891}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.191, 'neu': 0.809}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.167, 'pos': 0.0, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.167, 'pos': 0.0, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.5562, 'neg': 0.0, 'pos': 0.261, 'neu': 0.739}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.1, 'pos': 0.086, 'neu': 0.814}\n",
      "Vader score: {'compound': -0.2411, 'neg': 0.116, 'pos': 0.0, 'neu': 0.884}\n",
      "Vader score: {'compound': -0.2411, 'neg': 0.131, 'pos': 0.0, 'neu': 0.869}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4767, 'neg': 0.0, 'pos': 0.181, 'neu': 0.819}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.235, 'neu': 0.765}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.109, 'neu': 0.891}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.8834, 'neg': 0.442, 'pos': 0.0, 'neu': 0.558}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.167, 'pos': 0.0, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.196, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.191, 'neu': 0.809}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3595, 'neg': 0.0, 'pos': 0.128, 'neu': 0.872}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.196, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.126, 'neu': 0.874}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.097, 'pos': 0.0, 'neu': 0.903}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.113, 'pos': 0.0, 'neu': 0.887}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.097, 'pos': 0.0, 'neu': 0.903}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.113, 'pos': 0.0, 'neu': 0.887}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7579, 'neg': 0.0, 'pos': 0.419, 'neu': 0.581}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.139, 'neu': 0.861}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.236, 'neu': 0.764}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.236, 'neu': 0.764}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.236, 'neu': 0.764}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.1, 'pos': 0.086, 'neu': 0.814}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.236, 'neu': 0.764}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.236, 'neu': 0.764}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.236, 'neu': 0.764}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.27, 'neu': 0.73}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': -0.2263, 'neg': 0.137, 'pos': 0.0, 'neu': 0.863}\n",
      "Vader score: {'compound': -0.7579, 'neg': 0.228, 'pos': 0.0, 'neu': 0.772}\n",
      "Vader score: {'compound': -0.7579, 'neg': 0.228, 'pos': 0.0, 'neu': 0.772}\n",
      "Vader score: {'compound': -0.7579, 'neg': 0.22, 'pos': 0.0, 'neu': 0.78}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.115, 'pos': 0.0, 'neu': 0.885}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.085, 'pos': 0.0, 'neu': 0.915}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.085, 'pos': 0.0, 'neu': 0.915}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.367, 'neu': 0.633}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.743, 'neg': 0.0, 'pos': 0.412, 'neu': 0.588}\n",
      "Vader score: {'compound': 0.743, 'neg': 0.0, 'pos': 0.412, 'neu': 0.588}\n",
      "Vader score: {'compound': 0.743, 'neg': 0.0, 'pos': 0.412, 'neu': 0.588}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.223, 'neu': 0.777}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.223, 'neu': 0.777}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.223, 'neu': 0.777}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.223, 'neu': 0.777}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.223, 'neu': 0.777}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.223, 'neu': 0.777}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.235, 'neu': 0.765}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.139, 'pos': 0.0, 'neu': 0.861}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.198, 'neu': 0.802}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.191, 'neu': 0.809}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.191, 'neu': 0.809}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.181, 'neu': 0.819}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.368, 'neg': 0.0, 'pos': 0.163, 'neu': 0.837}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.6597, 'neg': 0.241, 'pos': 0.0, 'neu': 0.759}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.1, 'pos': 0.086, 'neu': 0.814}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.1, 'pos': 0.086, 'neu': 0.814}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.13, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1406, 'neg': 0.0, 'pos': 0.058, 'neu': 0.942}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.136, 'neu': 0.864}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.0, 'pos': 0.136, 'neu': 0.864}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.181, 'neu': 0.819}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.16, 'pos': 0.0, 'neu': 0.84}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.152, 'neu': 0.848}\n",
      "Vader score: {'compound': -0.4767, 'neg': 0.154, 'pos': 0.0, 'neu': 0.846}\n",
      "Vader score: {'compound': -0.4767, 'neg': 0.154, 'pos': 0.0, 'neu': 0.846}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.5423, 'neg': 0.079, 'pos': 0.195, 'neu': 0.726}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.191, 'neu': 0.809}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2584, 'neg': 0.085, 'pos': 0.0, 'neu': 0.915}\n",
      "Vader score: {'compound': -0.2584, 'neg': 0.081, 'pos': 0.0, 'neu': 0.919}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5267, 'neg': 0.0, 'pos': 0.129, 'neu': 0.871}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.5267, 'neg': 0.0, 'pos': 0.129, 'neu': 0.871}\n",
      "Vader score: {'compound': 0.5267, 'neg': 0.0, 'pos': 0.124, 'neu': 0.876}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.216, 'neu': 0.784}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.059, 'pos': 0.086, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.059, 'pos': 0.086, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.057, 'pos': 0.082, 'neu': 0.86}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3875, 'neg': 0.103, 'pos': 0.0, 'neu': 0.897}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3875, 'neg': 0.103, 'pos': 0.0, 'neu': 0.897}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.8356, 'neg': 0.0, 'pos': 0.497, 'neu': 0.503}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.189, 'pos': 0.0, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.211, 'neu': 0.789}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.191, 'neu': 0.809}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.178, 'neu': 0.822}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.096, 'neu': 0.904}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.157, 'neu': 0.843}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.157, 'neu': 0.843}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.111, 'pos': 0.0, 'neu': 0.889}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.103, 'pos': 0.0, 'neu': 0.897}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.743, 'neg': 0.0, 'pos': 0.364, 'neu': 0.636}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2617, 'neg': 0.108, 'pos': 0.0, 'neu': 0.892}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.261, 'neu': 0.739}\n",
      "Vader score: {'compound': 0.6908, 'neg': 0.0, 'pos': 0.322, 'neu': 0.678}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.281, 'neu': 0.719}\n",
      "Vader score: {'compound': 0.6908, 'neg': 0.0, 'pos': 0.322, 'neu': 0.678}\n",
      "Vader score: {'compound': 0.6908, 'neg': 0.0, 'pos': 0.363, 'neu': 0.637}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.148, 'neu': 0.852}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.148, 'neu': 0.852}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.122, 'pos': 0.16, 'neu': 0.718}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.128, 'neu': 0.872}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.155, 'pos': 0.0, 'neu': 0.845}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.155, 'pos': 0.0, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.398, 'neu': 0.602}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1655, 'neg': 0.0, 'pos': 0.105, 'neu': 0.895}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.237, 'neu': 0.763}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.088, 'pos': 0.152, 'neu': 0.76}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3412, 'neg': 0.0, 'pos': 0.194, 'neu': 0.806}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.216, 'neu': 0.784}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.178, 'neu': 0.822}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5216, 'neg': 0.206, 'pos': 0.0, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.291, 'neu': 0.709}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.8356, 'neg': 0.0, 'pos': 0.36, 'neu': 0.64}\n",
      "Vader score: {'compound': 0.3412, 'neg': 0.0, 'pos': 0.256, 'neu': 0.744}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3595, 'neg': 0.199, 'pos': 0.0, 'neu': 0.801}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.8016, 'neg': 0.0, 'pos': 0.375, 'neu': 0.625}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.216, 'pos': 0.0, 'neu': 0.784}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.216, 'pos': 0.0, 'neu': 0.784}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4184, 'neg': 0.188, 'pos': 0.0, 'neu': 0.812}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4926, 'neg': 0.0, 'pos': 0.21, 'neu': 0.79}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.291, 'neu': 0.709}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.252, 'neu': 0.748}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.216, 'neu': 0.784}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7096, 'neg': 0.0, 'pos': 0.457, 'neu': 0.543}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3595, 'neg': 0.142, 'pos': 0.0, 'neu': 0.858}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3595, 'neg': 0.161, 'pos': 0.0, 'neu': 0.839}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.191, 'neu': 0.809}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.216, 'pos': 0.0, 'neu': 0.784}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.226, 'neu': 0.774}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.239, 'neu': 0.761}\n",
      "Vader score: {'compound': 0.5583, 'neg': 0.0, 'pos': 0.295, 'neu': 0.705}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5267, 'neg': 0.0, 'pos': 0.207, 'neu': 0.793}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.193, 'pos': 0.193, 'neu': 0.614}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4015, 'neg': 0.0, 'pos': 0.212, 'neu': 0.788}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.196, 'pos': 0.0, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4015, 'neg': 0.0, 'pos': 0.162, 'neu': 0.838}\n",
      "Vader score: {'compound': 0.5242, 'neg': 0.0, 'pos': 0.253, 'neu': 0.747}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3595, 'neg': 0.185, 'pos': 0.0, 'neu': 0.815}\n",
      "Vader score: {'compound': 0.3802, 'neg': 0.0, 'pos': 0.166, 'neu': 0.834}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.122, 'pos': 0.211, 'neu': 0.667}\n",
      "Vader score: {'compound': 0.6124, 'neg': 0.0, 'pos': 0.417, 'neu': 0.583}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7579, 'neg': 0.0, 'pos': 0.333, 'neu': 0.667}\n",
      "Vader score: {'compound': 0.7506, 'neg': 0.0, 'pos': 0.368, 'neu': 0.632}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4466, 'neg': 0.0, 'pos': 0.37, 'neu': 0.63}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.237, 'neu': 0.763}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.247, 'neu': 0.753}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3164, 'neg': 0.171, 'pos': 0.288, 'neu': 0.541}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.145, 'pos': 0.0, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.346, 'neu': 0.654}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.359, 'neu': 0.641}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.196, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.193, 'pos': 0.193, 'neu': 0.614}\n",
      "Vader score: {'compound': -0.3595, 'neg': 0.185, 'pos': 0.0, 'neu': 0.815}\n",
      "Vader score: {'compound': -0.4724, 'neg': 0.255, 'pos': 0.0, 'neu': 0.745}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.204, 'neu': 0.796}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.131, 'pos': 0.214, 'neu': 0.655}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.316, 'neu': 0.684}\n",
      "Vader score: {'compound': 0.8011, 'neg': 0.0, 'pos': 0.444, 'neu': 0.556}\n",
      "Vader score: {'compound': -0.3612, 'neg': 0.152, 'pos': 0.0, 'neu': 0.848}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.164, 'pos': 0.164, 'neu': 0.672}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3595, 'neg': 0.185, 'pos': 0.0, 'neu': 0.815}\n",
      "Vader score: {'compound': 0.4576, 'neg': 0.0, 'pos': 0.176, 'neu': 0.824}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.252, 'neu': 0.748}\n",
      "Vader score: {'compound': 0.3412, 'neg': 0.0, 'pos': 0.179, 'neu': 0.821}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.3412, 'neg': 0.0, 'pos': 0.211, 'neu': 0.789}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.209, 'neu': 0.791}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.247, 'neu': 0.753}\n",
      "Vader score: {'compound': 0.4926, 'neg': 0.118, 'pos': 0.236, 'neu': 0.645}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7584, 'neg': 0.0, 'pos': 0.352, 'neu': 0.648}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3412, 'neg': 0.0, 'pos': 0.194, 'neu': 0.806}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.203, 'neu': 0.797}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0085, 'neg': 0.113, 'pos': 0.115, 'neu': 0.772}\n",
      "Vader score: {'compound': -0.3612, 'neg': 0.143, 'pos': 0.0, 'neu': 0.857}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3612, 'neg': 0.143, 'pos': 0.0, 'neu': 0.857}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.225, 'neu': 0.775}\n",
      "Vader score: {'compound': 0.6114, 'neg': 0.0, 'pos': 0.285, 'neu': 0.715}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.291, 'neu': 0.709}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7579, 'neg': 0.0, 'pos': 0.448, 'neu': 0.552}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7584, 'neg': 0.0, 'pos': 0.372, 'neu': 0.628}\n",
      "Vader score: {'compound': 0.3412, 'neg': 0.0, 'pos': 0.194, 'neu': 0.806}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.239, 'neu': 0.761}\n",
      "Vader score: {'compound': 0.7096, 'neg': 0.0, 'pos': 0.424, 'neu': 0.576}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.286, 'neu': 0.714}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.3412, 'neg': 0.0, 'pos': 0.211, 'neu': 0.789}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2263, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3412, 'neg': 0.0, 'pos': 0.231, 'neu': 0.769}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6114, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4926, 'neg': 0.0, 'pos': 0.262, 'neu': 0.738}\n",
      "Vader score: {'compound': -0.2263, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.6124, 'neg': 0.0, 'pos': 0.455, 'neu': 0.545}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6249, 'neg': 0.0, 'pos': 0.313, 'neu': 0.687}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.252, 'neu': 0.748}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.173, 'neu': 0.827}\n",
      "Vader score: {'compound': 0.7845, 'neg': 0.0, 'pos': 0.434, 'neu': 0.566}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.3412, 'neg': 0.0, 'pos': 0.156, 'neu': 0.844}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.236, 'neu': 0.764}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.138, 'neu': 0.862}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.219, 'neu': 0.781}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3595, 'neg': 0.333, 'pos': 0.0, 'neu': 0.667}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': -0.4184, 'neg': 0.236, 'pos': 0.0, 'neu': 0.764}\n",
      "Vader score: {'compound': 0.6467, 'neg': 0.0, 'pos': 0.38, 'neu': 0.62}\n",
      "Vader score: {'compound': 0.0772, 'neg': 0.0, 'pos': 0.064, 'neu': 0.936}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5562, 'neg': 0.0, 'pos': 0.261, 'neu': 0.739}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.219, 'neu': 0.781}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4767, 'neg': 0.0, 'pos': 0.129, 'neu': 0.871}\n",
      "Vader score: {'compound': -0.3595, 'neg': 0.151, 'pos': 0.0, 'neu': 0.849}\n",
      "Vader score: {'compound': 0.6808, 'neg': 0.0, 'pos': 0.337, 'neu': 0.663}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.297, 'neu': 0.703}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.122, 'neu': 0.878}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.136, 'pos': 0.111, 'neu': 0.754}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.083, 'neu': 0.917}\n",
      "Vader score: {'compound': -0.3595, 'neg': 0.161, 'pos': 0.0, 'neu': 0.839}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0772, 'neg': 0.0, 'pos': 0.071, 'neu': 0.929}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.14, 'neu': 0.86}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.086, 'pos': 0.135, 'neu': 0.779}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.106, 'pos': 0.09, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.136, 'pos': 0.0, 'neu': 0.864}\n",
      "Vader score: {'compound': 0.1027, 'neg': 0.117, 'pos': 0.138, 'neu': 0.745}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.128, 'neg': 0.143, 'pos': 0.177, 'neu': 0.68}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.219, 'neu': 0.781}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.184, 'neu': 0.816}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.223, 'neu': 0.777}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.117, 'pos': 0.101, 'neu': 0.782}\n",
      "Vader score: {'compound': 0.1027, 'neg': 0.096, 'pos': 0.114, 'neu': 0.789}\n",
      "Vader score: {'compound': 0.128, 'neg': 0.119, 'pos': 0.147, 'neu': 0.734}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.155, 'pos': 0.0, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.094, 'pos': 0.147, 'neu': 0.759}\n",
      "Vader score: {'compound': 0.128, 'neg': 0.119, 'pos': 0.147, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.2263, 'neg': 0.0, 'pos': 0.16, 'neu': 0.84}\n",
      "Vader score: {'compound': 0.6369, 'neg': 0.0, 'pos': 0.286, 'neu': 0.714}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.157, 'neu': 0.843}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.179, 'neu': 0.821}\n",
      "Vader score: {'compound': -0.3182, 'neg': 0.15, 'pos': 0.0, 'neu': 0.85}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.259, 'neu': 0.741}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5994, 'neg': 0.0, 'pos': 0.245, 'neu': 0.755}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.216, 'neu': 0.784}\n",
      "Vader score: {'compound': 0.5562, 'neg': 0.0, 'pos': 0.261, 'neu': 0.739}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3595, 'neg': 0.199, 'pos': 0.0, 'neu': 0.801}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.235, 'neu': 0.765}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.286, 'neu': 0.714}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.4981, 'neg': 0.0, 'pos': 0.244, 'neu': 0.756}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.189, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6114, 'neg': 0.0, 'pos': 0.222, 'neu': 0.778}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.177, 'pos': 0.177, 'neu': 0.645}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.239, 'neu': 0.761}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.196, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.196, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.161, 'neu': 0.839}\n",
      "Vader score: {'compound': 0.0258, 'neg': 0.0, 'pos': 0.058, 'neu': 0.942}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.252, 'neu': 0.748}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3595, 'neg': 0.0, 'pos': 0.199, 'neu': 0.801}\n",
      "Vader score: {'compound': -0.3595, 'neg': 0.172, 'pos': 0.0, 'neu': 0.828}\n",
      "Vader score: {'compound': 0.5583, 'neg': 0.0, 'pos': 0.339, 'neu': 0.661}\n",
      "Vader score: {'compound': 0.5267, 'neg': 0.0, 'pos': 0.298, 'neu': 0.702}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7189, 'neg': 0.0, 'pos': 0.334, 'neu': 0.666}\n",
      "Vader score: {'compound': -0.2263, 'neg': 0.241, 'pos': 0.0, 'neu': 0.759}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.252, 'neu': 0.748}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4015, 'neg': 0.0, 'pos': 0.212, 'neu': 0.788}\n",
      "Vader score: {'compound': -0.3595, 'neg': 0.217, 'pos': 0.0, 'neu': 0.783}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.167, 'pos': 0.0, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.259, 'neu': 0.741}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4015, 'neg': 0.0, 'pos': 0.152, 'neu': 0.848}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.241, 'neu': 0.759}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.187, 'neu': 0.813}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.216, 'pos': 0.0, 'neu': 0.784}\n",
      "Vader score: {'compound': 0.5994, 'neg': 0.0, 'pos': 0.302, 'neu': 0.698}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.12, 'pos': 0.12, 'neu': 0.761}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.219, 'neu': 0.781}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2263, 'neg': 0.16, 'pos': 0.0, 'neu': 0.84}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4466, 'neg': 0.0, 'pos': 0.196, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.0258, 'neg': 0.0, 'pos': 0.078, 'neu': 0.922}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.139, 'pos': 0.0, 'neu': 0.861}\n",
      "Vader score: {'compound': 0.6369, 'neg': 0.0, 'pos': 0.296, 'neu': 0.704}\n",
      "Vader score: {'compound': 0.6369, 'neg': 0.0, 'pos': 0.296, 'neu': 0.704}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.149, 'pos': 0.0, 'neu': 0.851}\n",
      "Vader score: {'compound': 0.7964, 'neg': 0.0, 'pos': 0.47, 'neu': 0.53}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4184, 'neg': 0.0, 'pos': 0.317, 'neu': 0.683}\n",
      "Vader score: {'compound': 0.3412, 'neg': 0.0, 'pos': 0.179, 'neu': 0.821}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4753, 'neg': 0.0, 'pos': 0.181, 'neu': 0.819}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.172, 'neu': 0.828}\n",
      "Vader score: {'compound': -0.2263, 'neg': 0.147, 'pos': 0.0, 'neu': 0.853}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.222, 'neu': 0.778}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.239, 'neu': 0.761}\n",
      "Vader score: {'compound': 0.5583, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': -0.3182, 'neg': 0.15, 'pos': 0.0, 'neu': 0.85}\n",
      "Vader score: {'compound': -0.5423, 'neg': 0.171, 'pos': 0.0, 'neu': 0.829}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4767, 'neg': 0.0, 'pos': 0.237, 'neu': 0.763}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4466, 'neg': 0.0, 'pos': 0.246, 'neu': 0.754}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.144, 'neu': 0.856}\n",
      "Vader score: {'compound': -0.3595, 'neg': 0.161, 'pos': 0.0, 'neu': 0.839}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.203, 'neu': 0.797}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3382, 'neg': 0.166, 'pos': 0.0, 'neu': 0.834}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.239, 'neu': 0.761}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.203, 'neu': 0.797}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7096, 'neg': 0.0, 'pos': 0.396, 'neu': 0.604}\n",
      "Vader score: {'compound': -0.3595, 'neg': 0.172, 'pos': 0.0, 'neu': 0.828}\n",
      "Vader score: {'compound': 0.4926, 'neg': 0.0, 'pos': 0.197, 'neu': 0.803}\n",
      "Vader score: {'compound': 0.4199, 'neg': 0.115, 'pos': 0.208, 'neu': 0.677}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.216, 'pos': 0.0, 'neu': 0.784}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.204, 'neu': 0.796}\n",
      "Vader score: {'compound': -0.3382, 'neg': 0.21, 'pos': 0.0, 'neu': 0.79}\n",
      "Vader score: {'compound': 0.3412, 'neg': 0.0, 'pos': 0.138, 'neu': 0.862}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6784, 'neg': 0.0, 'pos': 0.26, 'neu': 0.74}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.6124, 'neg': 0.0, 'pos': 0.455, 'neu': 0.545}\n",
      "Vader score: {'compound': 0.3412, 'neg': 0.0, 'pos': 0.231, 'neu': 0.769}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.136, 'pos': 0.0, 'neu': 0.864}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.149, 'neu': 0.851}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5994, 'neg': 0.0, 'pos': 0.231, 'neu': 0.769}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3182, 'neg': 0.15, 'pos': 0.0, 'neu': 0.85}\n",
      "Vader score: {'compound': -0.3182, 'neg': 0.141, 'pos': 0.0, 'neu': 0.859}\n",
      "Vader score: {'compound': -0.3182, 'neg': 0.161, 'pos': 0.0, 'neu': 0.839}\n",
      "Vader score: {'compound': -0.3182, 'neg': 0.161, 'pos': 0.0, 'neu': 0.839}\n",
      "Vader score: {'compound': -0.3182, 'neg': 0.161, 'pos': 0.0, 'neu': 0.839}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.196, 'pos': 0.0, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.27, 'neu': 0.73}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7096, 'neg': 0.0, 'pos': 0.296, 'neu': 0.704}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.189, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0772, 'neg': 0.135, 'pos': 0.156, 'neu': 0.709}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.123, 'pos': 0.0, 'neu': 0.877}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.13, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.268, 'neu': 0.732}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.167, 'pos': 0.0, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.316, 'neu': 0.684}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.216, 'neu': 0.784}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.174, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.257, 'neu': 0.743}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3219, 'neg': 0.124, 'pos': 0.199, 'neu': 0.677}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.149, 'pos': 0.0, 'neu': 0.851}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.247, 'neu': 0.753}\n",
      "Vader score: {'compound': -0.3595, 'neg': 0.217, 'pos': 0.0, 'neu': 0.783}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.255, 'neu': 0.745}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.239, 'neu': 0.761}\n",
      "Vader score: {'compound': -0.3802, 'neg': 0.152, 'pos': 0.088, 'neu': 0.76}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3412, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.196, 'neu': 0.804}\n",
      "Vader score: {'compound': -0.2263, 'neg': 0.192, 'pos': 0.0, 'neu': 0.808}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4184, 'neg': 0.317, 'pos': 0.0, 'neu': 0.683}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.191, 'neu': 0.809}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4201, 'neg': 0.0, 'pos': 0.189, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.216, 'neu': 0.784}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7096, 'neg': 0.0, 'pos': 0.312, 'neu': 0.688}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.091, 'pos': 0.0, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.13, 'pos': 0.0, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.0258, 'neg': 0.176, 'pos': 0.184, 'neu': 0.64}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.196, 'pos': 0.0, 'neu': 0.804}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.1, 'pos': 0.0, 'neu': 0.9}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.196, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.3412, 'neg': 0.0, 'pos': 0.138, 'neu': 0.862}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3412, 'neg': 0.0, 'pos': 0.179, 'neu': 0.821}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.136, 'neu': 0.864}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.216, 'neu': 0.784}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.368, 'neg': 0.0, 'pos': 0.22, 'neu': 0.78}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.196, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.103, 'pos': 0.0, 'neu': 0.897}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.083, 'neu': 0.917}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.235, 'neu': 0.765}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5562, 'neg': 0.0, 'pos': 0.261, 'neu': 0.739}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.249, 'neu': 0.751}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.802, 'neg': 0.406, 'pos': 0.0, 'neu': 0.594}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.202, 'neu': 0.798}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.083, 'neu': 0.917}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.091, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.091, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.091, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.091, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7691, 'neg': 0.0, 'pos': 0.25, 'neu': 0.75}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.196, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.202, 'neu': 0.798}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.081, 'pos': 0.188, 'neu': 0.731}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.088, 'pos': 0.204, 'neu': 0.708}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.106, 'pos': 0.237, 'neu': 0.657}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.145, 'pos': 0.0, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.128, 'neu': 0.872}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.235, 'neu': 0.765}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.235, 'neu': 0.765}\n",
      "Vader score: {'compound': -0.4588, 'neg': 0.167, 'pos': 0.0, 'neu': 0.833}\n",
      "Vader score: {'compound': -0.4588, 'neg': 0.158, 'pos': 0.0, 'neu': 0.842}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.165, 'pos': 0.269, 'neu': 0.566}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.235, 'neu': 0.765}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.235, 'neu': 0.765}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.235, 'neu': 0.765}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.196, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.223, 'neu': 0.777}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.223, 'neu': 0.777}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.202, 'neu': 0.798}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.235, 'neu': 0.765}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.212, 'neu': 0.788}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.223, 'neu': 0.777}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.223, 'neu': 0.777}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.223, 'neu': 0.777}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.109, 'pos': 0.0, 'neu': 0.891}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.149, 'pos': 0.0, 'neu': 0.851}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.149, 'pos': 0.0, 'neu': 0.851}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.212, 'neu': 0.788}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.145, 'pos': 0.0, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.212, 'neu': 0.788}\n",
      "Vader score: {'compound': 0.7983, 'neg': 0.0, 'pos': 0.367, 'neu': 0.633}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.107, 'neu': 0.893}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6808, 'neg': 0.0, 'pos': 0.301, 'neu': 0.699}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.189, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.5994, 'neg': 0.0, 'pos': 0.38, 'neu': 0.62}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.132, 'neu': 0.868}\n",
      "Vader score: {'compound': -0.34, 'neg': 0.138, 'pos': 0.0, 'neu': 0.862}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.226, 'neu': 0.774}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.6124, 'neg': 0.0, 'pos': 0.385, 'neu': 0.615}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4466, 'neg': 0.0, 'pos': 0.184, 'neu': 0.816}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.13, 'pos': 0.0, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.103, 'pos': 0.0, 'neu': 0.897}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.111, 'pos': 0.0, 'neu': 0.889}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.111, 'pos': 0.0, 'neu': 0.889}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.368, 'neg': 0.0, 'pos': 0.163, 'neu': 0.837}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.209, 'neu': 0.791}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.252, 'neu': 0.748}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.158, 'pos': 0.0, 'neu': 0.842}\n",
      "Vader score: {'compound': -0.2023, 'neg': 0.073, 'pos': 0.0, 'neu': 0.927}\n",
      "Vader score: {'compound': -0.34, 'neg': 0.103, 'pos': 0.0, 'neu': 0.897}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.235, 'neu': 0.765}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.286, 'neu': 0.714}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.0, 'pos': 0.096, 'neu': 0.904}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.0, 'pos': 0.108, 'neu': 0.892}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5562, 'neg': 0.102, 'pos': 0.288, 'neu': 0.61}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.34, 'neg': 0.211, 'pos': 0.0, 'neu': 0.789}\n",
      "Vader score: {'compound': -0.34, 'neg': 0.231, 'pos': 0.0, 'neu': 0.769}\n",
      "Vader score: {'compound': -0.34, 'neg': 0.211, 'pos': 0.0, 'neu': 0.789}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.184, 'neu': 0.816}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.157, 'pos': 0.0, 'neu': 0.843}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.16, 'pos': 0.0, 'neu': 0.84}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.139, 'neu': 0.861}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.139, 'neu': 0.861}\n",
      "Vader score: {'compound': 0.7983, 'neg': 0.0, 'pos': 0.367, 'neu': 0.633}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.0, 'pos': 0.136, 'neu': 0.864}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.2924, 'neg': 0.0, 'pos': 0.103, 'neu': 0.897}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.171, 'neu': 0.829}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.103, 'pos': 0.0, 'neu': 0.897}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.12, 'pos': 0.0, 'neu': 0.88}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.7096, 'neg': 0.33, 'pos': 0.0, 'neu': 0.67}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5859, 'neg': 0.45, 'pos': 0.0, 'neu': 0.55}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.235, 'neu': 0.765}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.103, 'pos': 0.092, 'neu': 0.805}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.098, 'neu': 0.902}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2023, 'neg': 0.375, 'pos': 0.0, 'neu': 0.625}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.7096, 'neg': 0.247, 'pos': 0.0, 'neu': 0.753}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.452, 'neu': 0.548}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.141, 'neu': 0.859}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.141, 'neu': 0.859}\n",
      "Vader score: {'compound': -0.3321, 'neg': 0.129, 'pos': 0.0, 'neu': 0.871}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.0, 'pos': 0.116, 'neu': 0.884}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.0, 'pos': 0.116, 'neu': 0.884}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.261, 'neu': 0.739}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.261, 'neu': 0.739}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.12, 'pos': 0.0, 'neu': 0.88}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.8074, 'neg': 0.0, 'pos': 0.36, 'neu': 0.64}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.152, 'neu': 0.848}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.152, 'neu': 0.848}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.0688, 'neg': 0.194, 'pos': 0.179, 'neu': 0.627}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.175, 'neu': 0.825}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.175, 'neu': 0.825}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.202, 'neu': 0.798}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4278, 'neg': 0.106, 'pos': 0.0, 'neu': 0.894}\n",
      "Vader score: {'compound': -0.7096, 'neg': 0.258, 'pos': 0.0, 'neu': 0.742}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.6705, 'neg': 0.209, 'pos': 0.0, 'neu': 0.791}\n",
      "Vader score: {'compound': -0.4278, 'neg': 0.114, 'pos': 0.0, 'neu': 0.886}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.7096, 'neg': 0.247, 'pos': 0.0, 'neu': 0.753}\n",
      "Vader score: {'compound': -0.7096, 'neg': 0.247, 'pos': 0.0, 'neu': 0.753}\n",
      "Vader score: {'compound': -0.3182, 'neg': 0.099, 'pos': 0.0, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.091, 'neu': 0.909}\n",
      "Vader score: {'compound': -0.5321, 'neg': 0.213, 'pos': 0.077, 'neu': 0.711}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.202, 'neu': 0.798}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.196, 'pos': 0.0, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.191, 'neu': 0.809}\n",
      "Vader score: {'compound': -0.7096, 'neg': 0.247, 'pos': 0.0, 'neu': 0.753}\n",
      "Vader score: {'compound': 0.5267, 'neg': 0.0, 'pos': 0.327, 'neu': 0.673}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.7096, 'neg': 0.247, 'pos': 0.0, 'neu': 0.753}\n",
      "Vader score: {'compound': -0.7096, 'neg': 0.258, 'pos': 0.0, 'neu': 0.742}\n",
      "Vader score: {'compound': -0.7096, 'neg': 0.247, 'pos': 0.0, 'neu': 0.753}\n",
      "Vader score: {'compound': -0.7096, 'neg': 0.247, 'pos': 0.0, 'neu': 0.753}\n",
      "Vader score: {'compound': -0.7096, 'neg': 0.247, 'pos': 0.0, 'neu': 0.753}\n",
      "Vader score: {'compound': -0.7096, 'neg': 0.247, 'pos': 0.0, 'neu': 0.753}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.226, 'neu': 0.774}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.1531, 'neg': 0.11, 'pos': 0.0, 'neu': 0.89}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.153, 'neu': 0.847}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.153, 'neu': 0.847}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.096, 'neu': 0.904}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.0, 'pos': 0.2, 'neu': 0.8}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.0, 'pos': 0.2, 'neu': 0.8}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.198, 'neu': 0.802}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.0, 'pos': 0.188, 'neu': 0.812}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.0, 'pos': 0.188, 'neu': 0.812}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.123, 'pos': 0.0, 'neu': 0.877}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.16, 'neu': 0.84}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.16, 'neu': 0.84}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.174, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.202, 'neu': 0.798}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6808, 'neg': 0.0, 'pos': 0.272, 'neu': 0.728}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.196, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.226, 'neu': 0.774}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.257, 'neu': 0.743}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.226, 'neu': 0.774}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.226, 'neu': 0.774}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.226, 'neu': 0.774}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.114, 'neu': 0.886}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.202, 'neu': 0.798}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.198, 'neu': 0.802}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.213, 'neu': 0.787}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.202, 'neu': 0.798}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.208, 'neu': 0.792}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.198, 'neu': 0.802}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.198, 'neu': 0.802}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.198, 'neu': 0.802}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4215, 'neg': 0.123, 'pos': 0.0, 'neu': 0.877}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4824, 'neg': 0.0, 'pos': 0.142, 'neu': 0.858}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.132, 'neu': 0.868}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6634, 'neg': 0.0, 'pos': 0.181, 'neu': 0.819}\n",
      "Vader score: {'compound': 0.4824, 'neg': 0.0, 'pos': 0.13, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5562, 'neg': 0.0, 'pos': 0.135, 'neu': 0.865}\n",
      "Vader score: {'compound': 0.5411, 'neg': 0.0, 'pos': 0.209, 'neu': 0.791}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4215, 'neg': 0.141, 'pos': 0.0, 'neu': 0.859}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.111, 'pos': 0.0, 'neu': 0.889}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.111, 'pos': 0.0, 'neu': 0.889}\n",
      "Vader score: {'compound': 0.4003, 'neg': 0.0, 'pos': 0.13, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.235, 'neu': 0.765}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': -0.4215, 'neg': 0.141, 'pos': 0.0, 'neu': 0.859}\n",
      "Vader score: {'compound': 0.4824, 'neg': 0.0, 'pos': 0.142, 'neu': 0.858}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.133, 'neu': 0.867}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.15, 'neu': 0.85}\n",
      "Vader score: {'compound': 0.4824, 'neg': 0.0, 'pos': 0.142, 'neu': 0.858}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4824, 'neg': 0.0, 'pos': 0.142, 'neu': 0.858}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4824, 'neg': 0.0, 'pos': 0.183, 'neu': 0.817}\n",
      "Vader score: {'compound': 0.4824, 'neg': 0.0, 'pos': 0.183, 'neu': 0.817}\n",
      "Vader score: {'compound': 0.4824, 'neg': 0.0, 'pos': 0.183, 'neu': 0.817}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6249, 'neg': 0.0, 'pos': 0.317, 'neu': 0.683}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.233, 'pos': 0.121, 'neu': 0.647}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': -0.3182, 'neg': 0.113, 'pos': 0.0, 'neu': 0.887}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3182, 'neg': 0.126, 'pos': 0.0, 'neu': 0.874}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.235, 'neu': 0.765}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6249, 'neg': 0.0, 'pos': 0.362, 'neu': 0.638}\n",
      "Vader score: {'compound': -0.1531, 'neg': 0.091, 'pos': 0.0, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5411, 'neg': 0.0, 'pos': 0.209, 'neu': 0.791}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.233, 'pos': 0.121, 'neu': 0.647}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.243, 'pos': 0.126, 'neu': 0.631}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4215, 'neg': 0.141, 'pos': 0.0, 'neu': 0.859}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.4545, 'neg': 0.0, 'pos': 0.142, 'neu': 0.858}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.268, 'pos': 0.0, 'neu': 0.732}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.141, 'neu': 0.859}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.219, 'neu': 0.781}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': 0.4003, 'neg': 0.0, 'pos': 0.13, 'neu': 0.87}\n",
      "Vader score: {'compound': -0.4215, 'neg': 0.135, 'pos': 0.0, 'neu': 0.865}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.096, 'neu': 0.904}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.16, 'pos': 0.0, 'neu': 0.84}\n",
      "Vader score: {'compound': 0.6652, 'neg': 0.0, 'pos': 0.199, 'neu': 0.801}\n",
      "Vader score: {'compound': -0.4215, 'neg': 0.412, 'pos': 0.0, 'neu': 0.588}\n",
      "Vader score: {'compound': 0.765, 'neg': 0.155, 'pos': 0.352, 'neu': 0.493}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.159, 'pos': 0.159, 'neu': 0.682}\n",
      "Vader score: {'compound': -0.4404, 'neg': 0.225, 'pos': 0.0, 'neu': 0.775}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.085, 'pos': 0.201, 'neu': 0.714}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.101, 'neu': 0.899}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4824, 'neg': 0.0, 'pos': 0.173, 'neu': 0.827}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.096, 'neu': 0.904}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.191, 'neu': 0.809}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.191, 'neu': 0.809}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.141, 'neu': 0.859}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.141, 'neu': 0.859}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.141, 'neu': 0.859}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.141, 'neu': 0.859}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.157, 'neu': 0.843}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.12, 'pos': 0.0, 'neu': 0.88}\n",
      "Vader score: {'compound': 0.5411, 'neg': 0.0, 'pos': 0.209, 'neu': 0.791}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.4003, 'neg': 0.0, 'pos': 0.13, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.206, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.191, 'neu': 0.809}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.191, 'neu': 0.809}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.0, 'pos': 0.214, 'neu': 0.786}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1027, 'neg': 0.0, 'pos': 0.104, 'neu': 0.896}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.149, 'neu': 0.851}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.191, 'neu': 0.809}\n",
      "Vader score: {'compound': 0.6369, 'neg': 0.0, 'pos': 0.245, 'neu': 0.755}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.6369, 'neg': 0.0, 'pos': 0.271, 'neu': 0.729}\n",
      "Vader score: {'compound': 0.4003, 'neg': 0.0, 'pos': 0.13, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5411, 'neg': 0.0, 'pos': 0.209, 'neu': 0.791}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.111, 'pos': 0.0, 'neu': 0.889}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.149, 'neu': 0.851}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.157, 'neu': 0.843}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.157, 'neu': 0.843}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.0, 'pos': 0.091, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.146, 'neu': 0.854}\n",
      "Vader score: {'compound': 0.6808, 'neg': 0.0, 'pos': 0.583, 'neu': 0.417}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.145, 'pos': 0.0, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4003, 'neg': 0.0, 'pos': 0.13, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.5411, 'neg': 0.0, 'pos': 0.209, 'neu': 0.791}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3862, 'neg': 0.185, 'pos': 0.0, 'neu': 0.815}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.149, 'neu': 0.851}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.149, 'neu': 0.851}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.111, 'pos': 0.0, 'neu': 0.889}\n",
      "Vader score: {'compound': 0.5267, 'neg': 0.0, 'pos': 0.185, 'neu': 0.815}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.096, 'neu': 0.904}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5267, 'neg': 0.0, 'pos': 0.207, 'neu': 0.793}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.802, 'neg': 0.0, 'pos': 0.427, 'neu': 0.573}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4926, 'neg': 0.0, 'pos': 0.208, 'neu': 0.792}\n",
      "Vader score: {'compound': 0.4003, 'neg': 0.0, 'pos': 0.13, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.5411, 'neg': 0.0, 'pos': 0.209, 'neu': 0.791}\n",
      "Vader score: {'compound': 0.802, 'neg': 0.0, 'pos': 0.427, 'neu': 0.573}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.133, 'neu': 0.867}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7983, 'neg': 0.0, 'pos': 0.367, 'neu': 0.633}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.148, 'neu': 0.852}\n",
      "Vader score: {'compound': -0.3612, 'neg': 0.152, 'pos': 0.0, 'neu': 0.848}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.185, 'neu': 0.815}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.185, 'neu': 0.815}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.087, 'neu': 0.913}\n",
      "Vader score: {'compound': -0.34, 'neg': 0.188, 'pos': 0.074, 'neu': 0.738}\n",
      "Vader score: {'compound': 0.802, 'neg': 0.0, 'pos': 0.387, 'neu': 0.613}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.802, 'neg': 0.0, 'pos': 0.427, 'neu': 0.573}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.12, 'pos': 0.083, 'neu': 0.797}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7717, 'neg': 0.0, 'pos': 0.435, 'neu': 0.565}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.087, 'neu': 0.913}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.087, 'neu': 0.913}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.096, 'neu': 0.904}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.107, 'neu': 0.893}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.155, 'pos': 0.0, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0772, 'neg': 0.0, 'pos': 0.08, 'neu': 0.92}\n",
      "Vader score: {'compound': 0.0772, 'neg': 0.0, 'pos': 0.08, 'neu': 0.92}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4926, 'neg': 0.0, 'pos': 0.208, 'neu': 0.792}\n",
      "Vader score: {'compound': 0.4003, 'neg': 0.0, 'pos': 0.13, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.5411, 'neg': 0.0, 'pos': 0.209, 'neu': 0.791}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.15, 'neu': 0.85}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5719, 'neg': 0.0, 'pos': 0.183, 'neu': 0.817}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.158, 'neu': 0.842}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.194, 'neu': 0.806}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.118, 'neu': 0.882}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': -0.4939, 'neg': 0.348, 'pos': 0.0, 'neu': 0.652}\n",
      "Vader score: {'compound': -0.6908, 'neg': 0.213, 'pos': 0.0, 'neu': 0.787}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.172, 'neu': 0.828}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.196, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.216, 'neu': 0.784}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.149, 'neu': 0.851}\n",
      "Vader score: {'compound': -0.8676, 'neg': 0.411, 'pos': 0.0, 'neu': 0.589}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.153, 'pos': 0.081, 'neu': 0.766}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.296, 'neg': 0.155, 'pos': 0.0, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.149, 'neu': 0.851}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.111, 'pos': 0.0, 'neu': 0.889}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.073, 'neu': 0.927}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.073, 'neu': 0.927}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.168, 'pos': 0.089, 'neu': 0.743}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.073, 'neu': 0.927}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.073, 'neu': 0.927}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2235, 'neg': 0.0, 'pos': 0.079, 'neu': 0.921}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.079, 'neu': 0.921}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.091, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5106, 'neg': 0.323, 'pos': 0.0, 'neu': 0.677}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4404, 'neg': 0.209, 'pos': 0.0, 'neu': 0.791}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4939, 'neg': 0.138, 'pos': 0.0, 'neu': 0.862}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.107, 'neu': 0.893}\n",
      "Vader score: {'compound': -0.5106, 'neg': 0.381, 'pos': 0.0, 'neu': 0.619}\n",
      "Vader score: {'compound': -0.4767, 'neg': 0.181, 'pos': 0.0, 'neu': 0.819}\n",
      "Vader score: {'compound': -0.4767, 'neg': 0.181, 'pos': 0.0, 'neu': 0.819}\n",
      "Vader score: {'compound': -0.1027, 'neg': 0.097, 'pos': 0.0, 'neu': 0.903}\n",
      "Vader score: {'compound': -0.2263, 'neg': 0.232, 'pos': 0.172, 'neu': 0.596}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4767, 'neg': 0.205, 'pos': 0.0, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6597, 'neg': 0.0, 'pos': 0.375, 'neu': 0.625}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5106, 'neg': 0.35, 'pos': 0.0, 'neu': 0.65}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0243, 'neg': 0.161, 'pos': 0.168, 'neu': 0.671}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.152, 'neu': 0.848}\n",
      "Vader score: {'compound': 0.0243, 'neg': 0.186, 'pos': 0.194, 'neu': 0.62}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.224, 'neu': 0.776}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.088, 'pos': 0.155, 'neu': 0.756}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.6124, 'neg': 0.357, 'pos': 0.0, 'neu': 0.643}\n",
      "Vader score: {'compound': -0.5106, 'neg': 0.281, 'pos': 0.0, 'neu': 0.719}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.088, 'pos': 0.155, 'neu': 0.756}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.157, 'pos': 0.0, 'neu': 0.843}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.091, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.101, 'neu': 0.899}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.088, 'pos': 0.155, 'neu': 0.756}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.088, 'pos': 0.155, 'neu': 0.756}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.096, 'pos': 0.17, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3612, 'neg': 0.111, 'pos': 0.0, 'neu': 0.889}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.225, 'neu': 0.775}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.211, 'neu': 0.789}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.111, 'pos': 0.0, 'neu': 0.889}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.111, 'pos': 0.0, 'neu': 0.889}\n",
      "Vader score: {'compound': -0.1531, 'neg': 0.252, 'pos': 0.197, 'neu': 0.552}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.101, 'neu': 0.899}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.123, 'neu': 0.877}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.223, 'neu': 0.777}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.264, 'neu': 0.736}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.264, 'neu': 0.736}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.281, 'neu': 0.719}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.083, 'neu': 0.917}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.114, 'neu': 0.886}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3328, 'neg': 0.201, 'pos': 0.13, 'neu': 0.669}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.225, 'neu': 0.775}\n",
      "Vader score: {'compound': -0.3328, 'neg': 0.201, 'pos': 0.13, 'neu': 0.669}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.225, 'neu': 0.775}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.123, 'neu': 0.877}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.248, 'neu': 0.752}\n",
      "Vader score: {'compound': 0.0772, 'neg': 0.0, 'pos': 0.085, 'neu': 0.915}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.136, 'neu': 0.864}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.136, 'neu': 0.864}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.196, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3328, 'neg': 0.224, 'pos': 0.145, 'neu': 0.631}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.225, 'neu': 0.775}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.355, 'neu': 0.645}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.083, 'neu': 0.917}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.091, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.091, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.091, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.172, 'neu': 0.828}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3612, 'neg': 0.0, 'pos': 0.161, 'neu': 0.839}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.7269, 'neg': 0.0, 'pos': 0.466, 'neu': 0.534}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5267, 'neg': 0.0, 'pos': 0.286, 'neu': 0.714}\n",
      "Vader score: {'compound': 0.3595, 'neg': 0.0, 'pos': 0.238, 'neu': 0.762}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.7983, 'neg': 0.0, 'pos': 0.367, 'neu': 0.633}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.225, 'neu': 0.775}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.225, 'neu': 0.775}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.6808, 'neg': 0.195, 'pos': 0.0, 'neu': 0.805}\n",
      "Vader score: {'compound': 0.6482, 'neg': 0.0, 'pos': 0.223, 'neu': 0.777}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.6808, 'neg': 0.213, 'pos': 0.0, 'neu': 0.787}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.118, 'neu': 0.882}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.067, 'pos': 0.227, 'neu': 0.706}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.318, 'neu': 0.682}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.109, 'neu': 0.891}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.157, 'neu': 0.843}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.177, 'neu': 0.823}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0772, 'neg': 0.14, 'pos': 0.159, 'neu': 0.701}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0258, 'neg': 0.158, 'pos': 0.165, 'neu': 0.677}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.101, 'neu': 0.899}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4019, 'neg': 0.137, 'pos': 0.0, 'neu': 0.863}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.6705, 'neg': 0.0, 'pos': 0.314, 'neu': 0.686}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4019, 'neg': 0.137, 'pos': 0.0, 'neu': 0.863}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4019, 'neg': 0.124, 'pos': 0.0, 'neu': 0.876}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.743, 'neg': 0.0, 'pos': 0.326, 'neu': 0.674}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.194, 'neu': 0.806}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5175, 'neg': 0.208, 'pos': 0.053, 'neu': 0.739}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': -0.4019, 'neg': 0.137, 'pos': 0.0, 'neu': 0.863}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.4767, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.4767, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.13, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.062, 'pos': 0.093, 'neu': 0.844}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.116, 'neu': 0.884}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.0, 'pos': 0.176, 'neu': 0.824}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.206, 'pos': 0.0, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1779, 'neg': 0.118, 'pos': 0.173, 'neu': 0.709}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.174, 'pos': 0.0, 'neu': 0.826}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.198, 'neu': 0.802}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.225, 'neu': 0.775}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4927, 'neg': 0.0, 'pos': 0.176, 'neu': 0.824}\n",
      "Vader score: {'compound': 0.4927, 'neg': 0.0, 'pos': 0.176, 'neu': 0.824}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.115, 'neu': 0.885}\n",
      "Vader score: {'compound': 0.3818, 'neg': 0.0, 'pos': 0.224, 'neu': 0.776}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3182, 'neg': 0.173, 'pos': 0.0, 'neu': 0.827}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.136, 'neu': 0.864}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.136, 'neu': 0.864}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.206, 'pos': 0.0, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.206, 'pos': 0.0, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.112, 'neu': 0.888}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.206, 'pos': 0.0, 'neu': 0.794}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.206, 'pos': 0.0, 'neu': 0.794}\n",
      "Vader score: {'compound': -0.3818, 'neg': 0.206, 'pos': 0.0, 'neu': 0.794}\n",
      "Vader score: {'compound': 0.4696, 'neg': 0.0, 'pos': 0.161, 'neu': 0.839}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.186, 'neu': 0.814}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.5423, 'neg': 0.22, 'pos': 0.0, 'neu': 0.78}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.12, 'pos': 0.0, 'neu': 0.88}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.111, 'pos': 0.0, 'neu': 0.889}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.196, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.196, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.136, 'neu': 0.864}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.136, 'neu': 0.864}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.202, 'neu': 0.798}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.6249, 'neg': 0.255, 'pos': 0.0, 'neu': 0.745}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.6249, 'neg': 0.215, 'pos': 0.0, 'neu': 0.785}\n",
      "Vader score: {'compound': -0.6249, 'neg': 0.255, 'pos': 0.0, 'neu': 0.745}\n",
      "Vader score: {'compound': -0.6249, 'neg': 0.291, 'pos': 0.0, 'neu': 0.709}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.12, 'pos': 0.0, 'neu': 0.88}\n",
      "Vader score: {'compound': -0.128, 'neg': 0.12, 'pos': 0.0, 'neu': 0.88}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.4019, 'neg': 0.184, 'pos': 0.0, 'neu': 0.816}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.242, 'neu': 0.758}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4404, 'neg': 0.0, 'pos': 0.266, 'neu': 0.734}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.094, 'pos': 0.219, 'neu': 0.688}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.088, 'pos': 0.206, 'neu': 0.706}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.088, 'pos': 0.206, 'neu': 0.706}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.094, 'pos': 0.219, 'neu': 0.688}\n",
      "Vader score: {'compound': 0.5574, 'neg': 0.0, 'pos': 0.195, 'neu': 0.805}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.094, 'pos': 0.219, 'neu': 0.688}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.099, 'neu': 0.901}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.094, 'pos': 0.219, 'neu': 0.688}\n",
      "Vader score: {'compound': 0.7983, 'neg': 0.0, 'pos': 0.367, 'neu': 0.633}\n",
      "Vader score: {'compound': 0.5267, 'neg': 0.0, 'pos': 0.286, 'neu': 0.714}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.18, 'neu': 0.82}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.1, 'pos': 0.233, 'neu': 0.667}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.1, 'pos': 0.233, 'neu': 0.667}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.1027, 'neg': 0.103, 'pos': 0.124, 'neu': 0.773}\n",
      "Vader score: {'compound': 0.1027, 'neg': 0.115, 'pos': 0.138, 'neu': 0.747}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.107, 'pos': 0.25, 'neu': 0.643}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.155, 'neu': 0.845}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0772, 'neg': 0.0, 'pos': 0.071, 'neu': 0.929}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.2, 'pos': 0.179, 'neu': 0.621}\n",
      "Vader score: {'compound': -0.3612, 'neg': 0.161, 'pos': 0.0, 'neu': 0.839}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.142, 'neu': 0.858}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.176, 'pos': 0.158, 'neu': 0.667}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.142, 'neu': 0.858}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.142, 'neu': 0.858}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.142, 'neu': 0.858}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.142, 'neu': 0.858}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.142, 'neu': 0.858}\n",
      "Vader score: {'compound': 0.5859, 'neg': 0.0, 'pos': 0.153, 'neu': 0.847}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.176, 'pos': 0.158, 'neu': 0.667}\n",
      "Vader score: {'compound': -0.0772, 'neg': 0.2, 'pos': 0.179, 'neu': 0.621}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.0, 'pos': 0.2, 'neu': 0.8}\n",
      "Vader score: {'compound': 0.0772, 'neg': 0.0, 'pos': 0.071, 'neu': 0.929}\n",
      "Vader score: {'compound': 0.0772, 'neg': 0.0, 'pos': 0.071, 'neu': 0.929}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.196, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.0772, 'neg': 0.0, 'pos': 0.071, 'neu': 0.929}\n",
      "Vader score: {'compound': -0.34, 'neg': 0.124, 'pos': 0.0, 'neu': 0.876}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.196, 'neu': 0.804}\n",
      "Vader score: {'compound': 0.4588, 'neg': 0.0, 'pos': 0.214, 'neu': 0.786}\n",
      "Vader score: {'compound': -0.4215, 'neg': 0.412, 'pos': 0.0, 'neu': 0.588}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5106, 'neg': 0.0, 'pos': 0.202, 'neu': 0.798}\n",
      "Vader score: {'compound': 0.5562, 'neg': 0.0, 'pos': 0.203, 'neu': 0.797}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.087, 'neu': 0.913}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.5562, 'neg': 0.0, 'pos': 0.234, 'neu': 0.766}\n",
      "Vader score: {'compound': 0.5562, 'neg': 0.0, 'pos': 0.223, 'neu': 0.777}\n",
      "Vader score: {'compound': 0.5562, 'neg': 0.0, 'pos': 0.223, 'neu': 0.777}\n",
      "Vader score: {'compound': 0.5562, 'neg': 0.0, 'pos': 0.223, 'neu': 0.777}\n",
      "Vader score: {'compound': 0.5562, 'neg': 0.0, 'pos': 0.203, 'neu': 0.797}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.104, 'neu': 0.896}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.208, 'neu': 0.792}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4215, 'neg': 0.0, 'pos': 0.183, 'neu': 0.817}\n",
      "Vader score: {'compound': 0.34, 'neg': 0.0, 'pos': 0.13, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0772, 'neg': 0.0, 'pos': 0.071, 'neu': 0.929}\n",
      "Vader score: {'compound': 0.0772, 'neg': 0.0, 'pos': 0.08, 'neu': 0.92}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.167, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.091, 'neu': 0.909}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.34, 'neg': 0.167, 'pos': 0.0, 'neu': 0.833}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.189, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.189, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.189, 'neu': 0.811}\n",
      "Vader score: {'compound': 0.4019, 'neg': 0.0, 'pos': 0.197, 'neu': 0.803}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0516, 'neg': 0.0, 'pos': 0.107, 'neu': 0.893}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.3182, 'neg': 0.0, 'pos': 0.133, 'neu': 0.867}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.296, 'neg': 0.0, 'pos': 0.145, 'neu': 0.855}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.13, 'neu': 0.87}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.205, 'neu': 0.795}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2732, 'neg': 0.16, 'pos': 0.0, 'neu': 0.84}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.2732, 'neg': 0.0, 'pos': 0.149, 'neu': 0.851}\n",
      "Vader score: {'compound': 0.4939, 'neg': 0.0, 'pos': 0.158, 'neu': 0.842}\n",
      "Vader score: {'compound': 0.2023, 'neg': 0.0, 'pos': 0.141, 'neu': 0.859}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.2263, 'neg': 0.181, 'pos': 0.11, 'neu': 0.709}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n",
      "Vader score: {'compound': -0.1511, 'neg': 0.077, 'pos': 0.0, 'neu': 0.923}\n",
      "Vader score: {'compound': 0.7569, 'neg': 0.0, 'pos': 0.319, 'neu': 0.681}\n",
      "Vader score: {'compound': 0.2942, 'neg': 0.0, 'pos': 0.109, 'neu': 0.891}\n",
      "Vader score: {'compound': 0.0, 'neg': 0.0, 'pos': 0.0, 'neu': 1.0}\n"
     ]
    }
   ],
   "source": [
    "df_results = pd.DataFrame(sentimentScore(Tweet))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Combining the two dataframes\n",
    "Next, combine the **df_tweets** dataframe with the **df_results** sentiment dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": false
   },
   "outputs": [
    {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Tweet Id</th>\n",
       "      <th>Date</th>\n",
       "      <th>Hour</th>\n",
       "      <th>User Name</th>\n",
       "      <th>Nickname</th>\n",
       "      <th>Bio</th>\n",
       "      <th>Tweet content</th>\n",
       "      <th>Favs</th>\n",
       "      <th>RTs</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>...</th>\n",
       "      <th>Original Tweet User Name</th>\n",
       "      <th>User Mentions</th>\n",
       "      <th>Hashtags</th>\n",
       "      <th>Symbols</th>\n",
       "      <th>Media</th>\n",
       "      <th>URLs</th>\n",
       "      <th>compound</th>\n",
       "      <th>neg</th>\n",
       "      <th>neu</th>\n",
       "      <th>pos</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6502</th>\n",
       "      <td>707914551908552705</td>\n",
       "      <td>2016-03-10</td>\n",
       "      <td>13:02</td>\n",
       "      <td>Brian D. Colwell</td>\n",
       "      <td>BColwell_EMGMKT</td>\n",
       "      <td>#EmergingMarkets #EmergingMarket #Africa #Asia...</td>\n",
       "      <td>#Cuba: U.S. #airlines vie 4 #latinamerica flig...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>#Cuba,#airlines,#latinamerica,#emergingmarket</td>\n",
       "      <td>$AAL,$DAL,$JBLU,$LUV,$UAL,$ALK,$VWO,$EEM,$FM,$ILF</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://ow.ly/Z1Nj0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
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       "    <tr>\n",
       "      <th>6503</th>\n",
       "      <td>707908040348016640</td>\n",
       "      <td>2016-03-10</td>\n",
       "      <td>12:36</td>\n",
       "      <td>Paul Henry</td>\n",
       "      <td>MoneyMarketzz</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Our New Stock Pick Is On $PSNP &amp;amp; It's Pick...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$PSNP,$DROP,$AAL,$SVMI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://tr.im/vUWIb</td>\n",
       "      <td>-0.1511</td>\n",
       "      <td>0.077</td>\n",
       "      <td>0.923</td>\n",
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       "      <td>707907421889495040</td>\n",
       "      <td>2016-03-10</td>\n",
       "      <td>12:34</td>\n",
       "      <td>Michael James</td>\n",
       "      <td>TheStockGuyz</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Our Hot New Stock Alert Is $PSNP! Things Are R...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$PSNP,$DROP,$AAL,$SVMI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://bit.ly/1RSCiQy</td>\n",
       "      <td>0.7569</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.681</td>\n",
       "      <td>0.319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6505</th>\n",
       "      <td>707906875690512385</td>\n",
       "      <td>2016-03-10</td>\n",
       "      <td>12:32</td>\n",
       "      <td>Michael Cook</td>\n",
       "      <td>Stockfiendz</td>\n",
       "      <td>NaN</td>\n",
       "      <td>This Mineral Exploration Company Is Heating Up...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$DROP,$AAL,$SVMI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://goo.gl/ryjCm7</td>\n",
       "      <td>0.2942</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.891</td>\n",
       "      <td>0.109</td>\n",
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       "    <tr>\n",
       "      <th>6506</th>\n",
       "      <td>707859062738669569</td>\n",
       "      <td>2016-03-10</td>\n",
       "      <td>09:22</td>\n",
       "      <td>thepeople4stocks</td>\n",
       "      <td>thepeople4stoc1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>AAL Exchange\\nSee Here ---&amp;gt; https://t.co/OT...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>#tradeideas</td>\n",
       "      <td>$AAL,$MITK,$ANTH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://dlvr.it/Kl4HZh</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                Tweet Id        Date   Hour         User Name  \\\n",
       "6502  707914551908552705  2016-03-10  13:02  Brian D. Colwell   \n",
       "6503  707908040348016640  2016-03-10  12:36        Paul Henry   \n",
       "6504  707907421889495040  2016-03-10  12:34     Michael James   \n",
       "6505  707906875690512385  2016-03-10  12:32      Michael Cook   \n",
       "6506  707859062738669569  2016-03-10  09:22  thepeople4stocks   \n",
       "\n",
       "             Nickname                                                Bio  \\\n",
       "6502  BColwell_EMGMKT  #EmergingMarkets #EmergingMarket #Africa #Asia...   \n",
       "6503    MoneyMarketzz                                                NaN   \n",
       "6504     TheStockGuyz                                                NaN   \n",
       "6505      Stockfiendz                                                NaN   \n",
       "6506  thepeople4stoc1                                                NaN   \n",
       "\n",
       "                                          Tweet content  Favs  RTs  Latitude  \\\n",
       "6502  #Cuba: U.S. #airlines vie 4 #latinamerica flig...   1.0  NaN       NaN   \n",
       "6503  Our New Stock Pick Is On $PSNP &amp; It's Pick...   NaN  NaN       NaN   \n",
       "6504  Our Hot New Stock Alert Is $PSNP! Things Are R...   NaN  NaN       NaN   \n",
       "6505  This Mineral Exploration Company Is Heating Up...   NaN  NaN       NaN   \n",
       "6506  AAL Exchange\\nSee Here ---&gt; https://t.co/OT...   NaN  NaN       NaN   \n",
       "\n",
       "      ...    Original Tweet User Name User Mentions  \\\n",
       "6502  ...                         NaN           NaN   \n",
       "6503  ...                         NaN           NaN   \n",
       "6504  ...                         NaN           NaN   \n",
       "6505  ...                         NaN           NaN   \n",
       "6506  ...                         NaN           NaN   \n",
       "\n",
       "                                           Hashtags  \\\n",
       "6502  #Cuba,#airlines,#latinamerica,#emergingmarket   \n",
       "6503                                            NaN   \n",
       "6504                                            NaN   \n",
       "6505                                            NaN   \n",
       "6506                                    #tradeideas   \n",
       "\n",
       "                                                Symbols  Media  \\\n",
       "6502  $AAL,$DAL,$JBLU,$LUV,$UAL,$ALK,$VWO,$EEM,$FM,$ILF    NaN   \n",
       "6503                             $PSNP,$DROP,$AAL,$SVMI    NaN   \n",
       "6504                             $PSNP,$DROP,$AAL,$SVMI    NaN   \n",
       "6505                                   $DROP,$AAL,$SVMI    NaN   \n",
       "6506                                   $AAL,$MITK,$ANTH    NaN   \n",
       "\n",
       "                       URLs  compound    neg    neu    pos  \n",
       "6502     http://ow.ly/Z1Nj0    0.0000  0.000  1.000  0.000  \n",
       "6503     http://tr.im/vUWIb   -0.1511  0.077  0.923  0.000  \n",
       "6504  http://bit.ly/1RSCiQy    0.7569  0.000  0.681  0.319  \n",
       "6505   http://goo.gl/ryjCm7    0.2942  0.000  0.891  0.109  \n",
       "6506  http://dlvr.it/Kl4HZh    0.0000  0.000  1.000  0.000  \n",
       "\n",
       "[5 rows x 30 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_tweets = pd.merge(df, df_results, left_index=True, right_index=True)\n",
    "\n",
    "df_tweets.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Choose the common range for the dataframes to be used for all tweet data\n",
    "Using range 1.4.-14.6.2016 = 73 days<br>\n",
    "The tweet data did not cover a uniform time period. For some a longer perido was covered, for some a shorter one. All could fit within 73 days, though. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "      <th>5733</th>\n",
       "      <td>715721241710227457</td>\n",
       "      <td>2016-04-01</td>\n",
       "      <td>02:03</td>\n",
       "      <td>BreakingStocksNews</td>\n",
       "      <td>NewsToDesk</td>\n",
       "      <td>News about Stocks</td>\n",
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       "      <td>...</td>\n",
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       "      <td>http://StockNewsHour.com/aal-american-airlines...</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5734</th>\n",
       "      <td>715717917606862850</td>\n",
       "      <td>2016-04-01</td>\n",
       "      <td>01:50</td>\n",
       "      <td>US Consumer News</td>\n",
       "      <td>ConsumerFeed</td>\n",
       "      <td>News for Consumers in a Changing World</td>\n",
       "      <td>American Airlines Group's outperform rating re...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>#AAL</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://ift.tt/1MFrvdE</td>\n",
       "      <td>0.3818</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.809</td>\n",
       "      <td>0.191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5735</th>\n",
       "      <td>715717224686813184</td>\n",
       "      <td>2016-04-01</td>\n",
       "      <td>01:47</td>\n",
       "      <td>China Invest</td>\n",
       "      <td>ChinaInvest</td>\n",
       "      <td>An investor in Hong Kong focusing in China sto...</td>\n",
       "      <td>RT SeekingAlpha: Airplane And Hospitality Indu...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$HOT,$MAR,$JBLU,$DAL,$LUV,$AAL,$ALK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://seekingalpha.com/article/3962425-airpla...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5736</th>\n",
       "      <td>715716602730323968</td>\n",
       "      <td>2016-04-01</td>\n",
       "      <td>01:45</td>\n",
       "      <td>MarketBeatCom</td>\n",
       "      <td>RatingsNetwork</td>\n",
       "      <td>Formerly Analyst Ratings Network. http://t.co/...</td>\n",
       "      <td>American Airlines Group's outperform rating re...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>#AAL</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://ift.tt/1MFrvdE</td>\n",
       "      <td>0.3818</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.809</td>\n",
       "      <td>0.191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5737</th>\n",
       "      <td>715692661068468224</td>\n",
       "      <td>2016-04-01</td>\n",
       "      <td>00:10</td>\n",
       "      <td>Yamasuta</td>\n",
       "      <td>YamasutaTrader</td>\n",
       "      <td>Yamasuta is an algorithmic stock analysis soft...</td>\n",
       "      <td>$AAL - BUY Signal at 41.38 on Mar 30, 16 By ht...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>#Stockmarket,#trading,#trade,#investing</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://YaMasuta.com</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                Tweet Id        Date   Hour           User Name  \\\n",
       "5733  715721241710227457  2016-04-01  02:03  BreakingStocksNews   \n",
       "5734  715717917606862850  2016-04-01  01:50    US Consumer News   \n",
       "5735  715717224686813184  2016-04-01  01:47        China Invest   \n",
       "5736  715716602730323968  2016-04-01  01:45       MarketBeatCom   \n",
       "5737  715692661068468224  2016-04-01  00:10            Yamasuta   \n",
       "\n",
       "            Nickname                                                Bio  \\\n",
       "5733      NewsToDesk                                  News about Stocks   \n",
       "5734    ConsumerFeed             News for Consumers in a Changing World   \n",
       "5735     ChinaInvest  An investor in Hong Kong focusing in China sto...   \n",
       "5736  RatingsNetwork  Formerly Analyst Ratings Network. http://t.co/...   \n",
       "5737  YamasutaTrader  Yamasuta is an algorithmic stock analysis soft...   \n",
       "\n",
       "                                          Tweet content  Favs  RTs  Latitude  \\\n",
       "5733  $AAL:\\n\\nAmerican Airlines Group’s (AAL) “Outp...   NaN  NaN       NaN   \n",
       "5734  American Airlines Group's outperform rating re...   NaN  NaN       NaN   \n",
       "5735  RT SeekingAlpha: Airplane And Hospitality Indu...   1.0  1.0       NaN   \n",
       "5736  American Airlines Group's outperform rating re...   NaN  1.0       NaN   \n",
       "5737  $AAL - BUY Signal at 41.38 on Mar 30, 16 By ht...   NaN  NaN       NaN   \n",
       "\n",
       "      ...    Original Tweet User Name User Mentions  \\\n",
       "5733  ...                         NaN           NaN   \n",
       "5734  ...                         NaN           NaN   \n",
       "5735  ...                         NaN           NaN   \n",
       "5736  ...                         NaN           NaN   \n",
       "5737  ...                         NaN           NaN   \n",
       "\n",
       "                                     Hashtags  \\\n",
       "5733                                      NaN   \n",
       "5734                                     #AAL   \n",
       "5735                                      NaN   \n",
       "5736                                     #AAL   \n",
       "5737  #Stockmarket,#trading,#trade,#investing   \n",
       "\n",
       "                                  Symbols  Media  \\\n",
       "5733                                 $AAL    NaN   \n",
       "5734                                 $AAL    NaN   \n",
       "5735  $HOT,$MAR,$JBLU,$DAL,$LUV,$AAL,$ALK    NaN   \n",
       "5736                                 $AAL    NaN   \n",
       "5737                                 $AAL    NaN   \n",
       "\n",
       "                                                   URLs  compound  neg    neu  \\\n",
       "5733  http://StockNewsHour.com/aal-american-airlines...    0.0000  0.0  1.000   \n",
       "5734                              http://ift.tt/1MFrvdE    0.3818  0.0  0.809   \n",
       "5735  http://seekingalpha.com/article/3962425-airpla...    0.0000  0.0  1.000   \n",
       "5736                              http://ift.tt/1MFrvdE    0.3818  0.0  0.809   \n",
       "5737                                http://YaMasuta.com    0.0000  0.0  1.000   \n",
       "\n",
       "        pos  \n",
       "5733  0.000  \n",
       "5734  0.191  \n",
       "5735  0.000  \n",
       "5736  0.191  \n",
       "5737  0.000  \n",
       "\n",
       "[5 rows x 30 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_tweets = df_tweets[(df_tweets['Date'] >= '2016-04-01') & (df_tweets['Date'] <= '2016-06-14')]\n",
    "\n",
    "df_tweets.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Adding a datetime column/index\n",
    "Next, removing the 'Date' column and adding a datetime column/index. This format is needed for the daily average calculations!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Tweet Id</th>\n",
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       "      <th>User Mentions</th>\n",
       "      <th>Hashtags</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-06-14</th>\n",
       "      <td>742866928872476672</td>\n",
       "      <td>23:50</td>\n",
       "      <td>Airlines News</td>\n",
       "      <td>_airlines_</td>\n",
       "      <td>Track all of the latest Airlines News with Owl...</td>\n",
       "      <td>#AmericanAirlines Cabin Chaos Triggers Turbule...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>#AmericanAirlines</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://owler.us/aaQRCN</td>\n",
       "      <td>-0.5719</td>\n",
       "      <td>0.270</td>\n",
       "      <td>0.730</td>\n",
       "      <td>0.0</td>\n",
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       "      <th>2016-06-14</th>\n",
       "      <td>742864743002574848</td>\n",
       "      <td>23:42</td>\n",
       "      <td>1 min Stock Insights</td>\n",
       "      <td>1MinuteStock</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>#fundamental</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://unicornbay.com/t/AAL.US?utm_medium=twe...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2016-06-14</th>\n",
       "      <td>742862512878682112</td>\n",
       "      <td>23:33</td>\n",
       "      <td>dailystockplays.com</td>\n",
       "      <td>DailyStockPlays</td>\n",
       "      <td>Live Day Trading Calls, Daily Swing Trading Li...</td>\n",
       "      <td>Expansion BD https://t.co/5WSaOfRETR $IMGN $CO...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.25022</td>\n",
       "      <td>-119.75126</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$IMGN,$COF,$LYG,$STNG,$LUV,$ALLY,$SMFG,$ING,$M...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.dailystockplays.com/Expansion-BD-20...</td>\n",
       "      <td>0.0000</td>\n",
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       "      <td>1.000</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2016-06-14</th>\n",
       "      <td>742856061606985728</td>\n",
       "      <td>23:07</td>\n",
       "      <td>Sarcasm Bot</td>\n",
       "      <td>sarcbot</td>\n",
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       "      <td>$AAL big time shorts and options traders seem ...</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
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       "      <th>2016-06-14</th>\n",
       "      <td>742852413929836544</td>\n",
       "      <td>22:53</td>\n",
       "      <td>1 min Stock Insights</td>\n",
       "      <td>1MinuteStock</td>\n",
       "      <td>Flash, 1 minute stock insights about trending ...</td>\n",
       "      <td>Wondering about risks of $AAL? The 21-day vola...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://unicornbay.com/t/AAL.US?utm_medium=twe...</td>\n",
       "      <td>-0.2732</td>\n",
       "      <td>0.174</td>\n",
       "      <td>0.826</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "<p>5 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Tweet Id   Hour             User Name         Nickname  \\\n",
       "datetime                                                                       \n",
       "2016-06-14  742866928872476672  23:50         Airlines News       _airlines_   \n",
       "2016-06-14  742864743002574848  23:42  1 min Stock Insights     1MinuteStock   \n",
       "2016-06-14  742862512878682112  23:33   dailystockplays.com  DailyStockPlays   \n",
       "2016-06-14  742856061606985728  23:07           Sarcasm Bot          sarcbot   \n",
       "2016-06-14  742852413929836544  22:53  1 min Stock Insights     1MinuteStock   \n",
       "\n",
       "                                                          Bio  \\\n",
       "datetime                                                        \n",
       "2016-06-14  Track all of the latest Airlines News with Owl...   \n",
       "2016-06-14  Flash, 1 minute stock insights about trending ...   \n",
       "2016-06-14  Live Day Trading Calls, Daily Swing Trading Li...   \n",
       "2016-06-14  Don't take this bot seriously. It was an exper...   \n",
       "2016-06-14  Flash, 1 minute stock insights about trending ...   \n",
       "\n",
       "                                                Tweet content  Favs  RTs  \\\n",
       "datetime                                                                   \n",
       "2016-06-14  #AmericanAirlines Cabin Chaos Triggers Turbule...   NaN  NaN   \n",
       "2016-06-14  Explore #fundamental numbers and pros and cons...   NaN  NaN   \n",
       "2016-06-14  Expansion BD https://t.co/5WSaOfRETR $IMGN $CO...   NaN  NaN   \n",
       "2016-06-14  $AAL big time shorts and options traders seem ...   NaN  NaN   \n",
       "2016-06-14  Wondering about risks of $AAL? The 21-day vola...   NaN  NaN   \n",
       "\n",
       "            Latitude  Longitude ...  Original Tweet User Name User Mentions  \\\n",
       "datetime                        ...                                           \n",
       "2016-06-14       NaN        NaN ...                       NaN           NaN   \n",
       "2016-06-14       NaN        NaN ...                       NaN           NaN   \n",
       "2016-06-14  37.25022 -119.75126 ...                       NaN           NaN   \n",
       "2016-06-14       NaN        NaN ...                       NaN           NaN   \n",
       "2016-06-14       NaN        NaN ...                       NaN           NaN   \n",
       "\n",
       "                     Hashtags  \\\n",
       "datetime                        \n",
       "2016-06-14  #AmericanAirlines   \n",
       "2016-06-14       #fundamental   \n",
       "2016-06-14                NaN   \n",
       "2016-06-14                NaN   \n",
       "2016-06-14                NaN   \n",
       "\n",
       "                                                      Symbols  Media  \\\n",
       "datetime                                                               \n",
       "2016-06-14                                               $AAL    NaN   \n",
       "2016-06-14                                               $AAL    NaN   \n",
       "2016-06-14  $IMGN,$COF,$LYG,$STNG,$LUV,$ALLY,$SMFG,$ING,$M...    NaN   \n",
       "2016-06-14                                               $AAL    NaN   \n",
       "2016-06-14                                               $AAL    NaN   \n",
       "\n",
       "                                                         URLs compound    neg  \\\n",
       "datetime                                                                        \n",
       "2016-06-14                             http://owler.us/aaQRCN  -0.5719  0.270   \n",
       "2016-06-14  https://unicornbay.com/t/AAL.US?utm_medium=twe...   0.0000  0.000   \n",
       "2016-06-14  http://www.dailystockplays.com/Expansion-BD-20...   0.0000  0.000   \n",
       "2016-06-14                                                NaN   0.0000  0.000   \n",
       "2016-06-14  https://unicornbay.com/t/AAL.US?utm_medium=twe...  -0.2732  0.174   \n",
       "\n",
       "              neu  pos  \n",
       "datetime                \n",
       "2016-06-14  0.730  0.0  \n",
       "2016-06-14  1.000  0.0  \n",
       "2016-06-14  1.000  0.0  \n",
       "2016-06-14  1.000  0.0  \n",
       "2016-06-14  0.826  0.0  \n",
       "\n",
       "[5 rows x 29 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_tweets['datetime'] = pd.to_datetime(df_tweets['Date']) # change of Date column to datetime columns\n",
    "df_tweet_SA = df_tweets.set_index('datetime') # creates a new dataframe 'df_Dc' with the new index column datetime \n",
    "df_tweet_SA.drop(['Date'], axis=1, inplace=True) #drops the original 'Date' column from the dataframe\n",
    "df_tweet_SA.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Slimming down the stream into a dataframe with only relevant columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
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       "      <th>Symbols</th>\n",
       "      <th>compound</th>\n",
       "      <th>neg</th>\n",
       "      <th>neu</th>\n",
       "      <th>pos</th>\n",
       "      <th>datetime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2016-06-14</td>\n",
       "      <td>23:50</td>\n",
       "      <td>#AmericanAirlines Cabin Chaos Triggers Turbule...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>False</td>\n",
       "      <td>#AmericanAirlines</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>-0.5719</td>\n",
       "      <td>0.270</td>\n",
       "      <td>0.730</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2016-06-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2016-06-14</td>\n",
       "      <td>23:42</td>\n",
       "      <td>Explore #fundamental numbers and pros and cons...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1398.0</td>\n",
       "      <td>1495.0</td>\n",
       "      <td>False</td>\n",
       "      <td>#fundamental</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2016-06-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2016-06-14</td>\n",
       "      <td>23:33</td>\n",
       "      <td>Expansion BD https://t.co/5WSaOfRETR $IMGN $CO...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4864.0</td>\n",
       "      <td>2512.0</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$IMGN,$COF,$LYG,$STNG,$LUV,$ALLY,$SMFG,$ING,$M...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2016-06-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2016-06-14</td>\n",
       "      <td>23:07</td>\n",
       "      <td>$AAL big time shorts and options traders seem ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>163.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2016-06-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2016-06-14</td>\n",
       "      <td>22:53</td>\n",
       "      <td>Wondering about risks of $AAL? The 21-day vola...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1398.0</td>\n",
       "      <td>1495.0</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>-0.2732</td>\n",
       "      <td>0.174</td>\n",
       "      <td>0.826</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2016-06-14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Date   Hour                                      Tweet content  \\\n",
       "17  2016-06-14  23:50  #AmericanAirlines Cabin Chaos Triggers Turbule...   \n",
       "18  2016-06-14  23:42  Explore #fundamental numbers and pros and cons...   \n",
       "19  2016-06-14  23:33  Expansion BD https://t.co/5WSaOfRETR $IMGN $CO...   \n",
       "20  2016-06-14  23:07  $AAL big time shorts and options traders seem ...   \n",
       "21  2016-06-14  22:53  Wondering about risks of $AAL? The 21-day vola...   \n",
       "\n",
       "    Favs  RTs  Followers  Following  Is a RT           Hashtags  \\\n",
       "17   NaN  NaN       31.0        3.0    False  #AmericanAirlines   \n",
       "18   NaN  NaN     1398.0     1495.0    False       #fundamental   \n",
       "19   NaN  NaN     4864.0     2512.0    False                NaN   \n",
       "20   NaN  NaN      163.0        6.0    False                NaN   \n",
       "21   NaN  NaN     1398.0     1495.0    False                NaN   \n",
       "\n",
       "                                              Symbols  compound    neg    neu  \\\n",
       "17                                               $AAL   -0.5719  0.270  0.730   \n",
       "18                                               $AAL    0.0000  0.000  1.000   \n",
       "19  $IMGN,$COF,$LYG,$STNG,$LUV,$ALLY,$SMFG,$ING,$M...    0.0000  0.000  1.000   \n",
       "20                                               $AAL    0.0000  0.000  1.000   \n",
       "21                                               $AAL   -0.2732  0.174  0.826   \n",
       "\n",
       "    pos   datetime  \n",
       "17  0.0 2016-06-14  \n",
       "18  0.0 2016-06-14  \n",
       "19  0.0 2016-06-14  \n",
       "20  0.0 2016-06-14  \n",
       "21  0.0 2016-06-14  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_tweet_SA = df_tweets[['Date','Hour','Tweet content','Favs','RTs','Followers','Following', 'Is a RT', \n",
    "                'Hashtags','Symbols','compound','neg','neu','pos','datetime']]\n",
    "\n",
    "df_tweet_SA.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Remove tweets were compound is zero, i.e. sentiment is neutral\n",
    "Neutral tweets do not reflect a positive or negative mood and serve therefore no purpose to this analysis. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "df_tweet_SA = df_tweet_SA[(df_tweet_SA[['compound']] != 0).all(axis=1)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Create new column with the 'compound' multiplied by nr of followers of the account\n",
    "The logic being, if the tweeter has many followers, the compound of the his/her tweet has more significance compared to a tweet by a \"less significant\" tweeter, with less followers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "df_tweet_SA['Compound_multiplied'] = df_tweet_SA['compound']*df_tweet_SA['Followers']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Hour</th>\n",
       "      <th>Tweet content</th>\n",
       "      <th>Favs</th>\n",
       "      <th>RTs</th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5729</th>\n",
       "      <td>2016-04-01</td>\n",
       "      <td>02:08</td>\n",
       "      <td>RT @RatingsNetwork: American Airlines Group's ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>279.0</td>\n",
       "      <td>333.0</td>\n",
       "      <td>True</td>\n",
       "      <td>#AAL</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>0.3818</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.833</td>\n",
       "      <td>0.167</td>\n",
       "      <td>2016-04-01</td>\n",
       "      <td>106.5222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5730</th>\n",
       "      <td>2016-04-01</td>\n",
       "      <td>02:07</td>\n",
       "      <td>Three Penny Stock Picks More Than QUADRUPLED I...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13805.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$DROP,$AAL,$SVMI</td>\n",
       "      <td>0.4003</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.870</td>\n",
       "      <td>0.130</td>\n",
       "      <td>2016-04-01</td>\n",
       "      <td>5526.1415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5732</th>\n",
       "      <td>2016-04-01</td>\n",
       "      <td>02:06</td>\n",
       "      <td>American Airlines Group’s $AAL “Outperform” Ra...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>848.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>0.3818</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.794</td>\n",
       "      <td>0.206</td>\n",
       "      <td>2016-04-01</td>\n",
       "      <td>323.7664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5734</th>\n",
       "      <td>2016-04-01</td>\n",
       "      <td>01:50</td>\n",
       "      <td>American Airlines Group's outperform rating re...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4519.0</td>\n",
       "      <td>2839.0</td>\n",
       "      <td>False</td>\n",
       "      <td>#AAL</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>0.3818</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.809</td>\n",
       "      <td>0.191</td>\n",
       "      <td>2016-04-01</td>\n",
       "      <td>1725.3542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5736</th>\n",
       "      <td>2016-04-01</td>\n",
       "      <td>01:45</td>\n",
       "      <td>American Airlines Group's outperform rating re...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4001.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>#AAL</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>0.3818</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.809</td>\n",
       "      <td>0.191</td>\n",
       "      <td>2016-04-01</td>\n",
       "      <td>1527.5818</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date   Hour                                      Tweet content  \\\n",
       "5729  2016-04-01  02:08  RT @RatingsNetwork: American Airlines Group's ...   \n",
       "5730  2016-04-01  02:07  Three Penny Stock Picks More Than QUADRUPLED I...   \n",
       "5732  2016-04-01  02:06  American Airlines Group’s $AAL “Outperform” Ra...   \n",
       "5734  2016-04-01  01:50  American Airlines Group's outperform rating re...   \n",
       "5736  2016-04-01  01:45  American Airlines Group's outperform rating re...   \n",
       "\n",
       "      Favs  RTs  Followers  Following  Is a RT Hashtags           Symbols  \\\n",
       "5729   NaN  1.0      279.0      333.0     True     #AAL              $AAL   \n",
       "5730   NaN  NaN    13805.0        8.0    False      NaN  $DROP,$AAL,$SVMI   \n",
       "5732   NaN  NaN      848.0        NaN    False      NaN              $AAL   \n",
       "5734   NaN  NaN     4519.0     2839.0    False     #AAL              $AAL   \n",
       "5736   NaN  1.0     4001.0        1.0    False     #AAL              $AAL   \n",
       "\n",
       "      compound  neg    neu    pos   datetime  Compound_multiplied  \n",
       "5729    0.3818  0.0  0.833  0.167 2016-04-01             106.5222  \n",
       "5730    0.4003  0.0  0.870  0.130 2016-04-01            5526.1415  \n",
       "5732    0.3818  0.0  0.794  0.206 2016-04-01             323.7664  \n",
       "5734    0.3818  0.0  0.809  0.191 2016-04-01            1725.3542  \n",
       "5736    0.3818  0.0  0.809  0.191 2016-04-01            1527.5818  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_tweet_SA.tail()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Remove rows where 'Followers' is NaN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1231</th>\n",
       "      <td>2016-05-27</td>\n",
       "      <td>23:25</td>\n",
       "      <td>Recap of HUGE Stock Market News today!\\nhttps:...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$A,$AAL,$ABT,$ABX,$AIG,$AMD,$AMZN,$B,$BA,$BABA...</td>\n",
       "      <td>0.5147</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.874</td>\n",
       "      <td>0.126</td>\n",
       "      <td>2016-05-27</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2414</th>\n",
       "      <td>2016-05-06</td>\n",
       "      <td>18:44</td>\n",
       "      <td>Oversold Airline Ready For A Quick Rebound. $A...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>0.3612</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.737</td>\n",
       "      <td>0.263</td>\n",
       "      <td>2016-05-06</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2712</th>\n",
       "      <td>2016-05-03</td>\n",
       "      <td>13:56</td>\n",
       "      <td>RT @stocktrader300: American Airlines $AAL at ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>-0.2732</td>\n",
       "      <td>0.208</td>\n",
       "      <td>0.792</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2016-05-03</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4521</th>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>09:06</td>\n",
       "      <td>Don't worry about $AAL @Free_Money_1 Giant Wed...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$AAL,$ECEZ</td>\n",
       "      <td>0.3412</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.806</td>\n",
       "      <td>0.194</td>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4540</th>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>05:54</td>\n",
       "      <td>@KleinschmidtJD Do not wait around!\\nThe Symbo...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$BHI,$AKRX,$AAL</td>\n",
       "      <td>-0.5216</td>\n",
       "      <td>0.206</td>\n",
       "      <td>0.794</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4558</th>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>04:26</td>\n",
       "      <td>@eyesshare Stock Is Gonna Rock!\\nY! Symbol    ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$SPMO,$AAL,$IGLD</td>\n",
       "      <td>-0.4184</td>\n",
       "      <td>0.188</td>\n",
       "      <td>0.812</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4572</th>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>03:26</td>\n",
       "      <td>@jorgecra72 A #wallstreet Buy Today!\\nYahoo Fi...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>#wallstreet</td>\n",
       "      <td>$TSLA,$bdms,$AAL</td>\n",
       "      <td>-0.3595</td>\n",
       "      <td>0.161</td>\n",
       "      <td>0.839</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4575</th>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>03:01</td>\n",
       "      <td>My old picks $AAL @Ruben___Quezada Breaking Pi...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>0.5859</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.774</td>\n",
       "      <td>0.226</td>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4587</th>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>02:10</td>\n",
       "      <td>My old picks $AAL @dexterjaed Did you get your...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$AAL,$ECEZ</td>\n",
       "      <td>0.2960</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.855</td>\n",
       "      <td>0.145</td>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4591</th>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>02:02</td>\n",
       "      <td>No more buys $AAL @JAKEinTV Pump Incoming On E...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>-0.2960</td>\n",
       "      <td>0.196</td>\n",
       "      <td>0.804</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4610</th>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>01:11</td>\n",
       "      <td>Bye $AAL @HazelFruitman TWITTER ALERT Order  E...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>0.4466</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.630</td>\n",
       "      <td>0.370</td>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4612</th>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>00:48</td>\n",
       "      <td>Hold: $AAL @BradleyKothlow A True Wall Street ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>0.4215</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.763</td>\n",
       "      <td>0.237</td>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4634</th>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>23:19</td>\n",
       "      <td>Other picks $AAL @sougo_sos Huge buys incoming...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>0.3182</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.796</td>\n",
       "      <td>0.204</td>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4662</th>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>21:55</td>\n",
       "      <td>Sold all: $AAL @FilmeramaProd Huge Tuesday New...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>#ECEZ</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>0.3182</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.753</td>\n",
       "      <td>0.247</td>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4670</th>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>21:14</td>\n",
       "      <td>@lovmelikeyoudos !! TWITTER BUY ALERT !!\\nTick...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$TNSU,$AAL,$SRPT</td>\n",
       "      <td>0.7584</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.648</td>\n",
       "      <td>0.352</td>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4693</th>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>20:02</td>\n",
       "      <td>Don't worry about $AAL @MsT_VoYaGeR !! TWITTER...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$AAL,$ECEZ</td>\n",
       "      <td>0.7584</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.628</td>\n",
       "      <td>0.372</td>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4700</th>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>19:32</td>\n",
       "      <td>@ALLAH_LOK Buy shares yet?\\nCo Symbol Ecoscien...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$ECEZ,$BITI,$AAL,$ICPT</td>\n",
       "      <td>0.2960</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.855</td>\n",
       "      <td>0.145</td>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4713</th>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>18:33</td>\n",
       "      <td>Old choices $AAL @Novot_Rad Wolf Worthy Pick! ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$AAL,$ECEZ</td>\n",
       "      <td>0.4926</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.738</td>\n",
       "      <td>0.262</td>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4750</th>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>16:25</td>\n",
       "      <td>@uwgb Order up on the bell!\\nTickr    Ecoscien...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$QQQE,$BABA,$AAL</td>\n",
       "      <td>-0.3595</td>\n",
       "      <td>0.151</td>\n",
       "      <td>0.849</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4760</th>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>15:54</td>\n",
       "      <td>@dartzie62 #monday #money #success\\nY! Symbol ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>#monday,#money,#success</td>\n",
       "      <td>$ECEZ,$GG,$AAL,$BTX</td>\n",
       "      <td>-0.3595</td>\n",
       "      <td>0.161</td>\n",
       "      <td>0.839</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4863</th>\n",
       "      <td>2016-04-11</td>\n",
       "      <td>23:48</td>\n",
       "      <td>@commentng Buy ASAP\\nOTC: MJTV\\nForget $AAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>-0.2263</td>\n",
       "      <td>0.241</td>\n",
       "      <td>0.759</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2016-04-11</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4864</th>\n",
       "      <td>2016-04-11</td>\n",
       "      <td>23:45</td>\n",
       "      <td>@mytoy5 #Monday #Money #Buy\\nStock Symbol $MJT...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>#Monday,#Money,#Buy</td>\n",
       "      <td>$MJTV,$AUPH,$AAL,$LITE</td>\n",
       "      <td>0.5719</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.748</td>\n",
       "      <td>0.252</td>\n",
       "      <td>2016-04-11</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4882</th>\n",
       "      <td>2016-04-11</td>\n",
       "      <td>21:47</td>\n",
       "      <td>@LauraLetts1 Super high float order now\\nOTC: ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>0.5994</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.698</td>\n",
       "      <td>0.302</td>\n",
       "      <td>2016-04-11</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4889</th>\n",
       "      <td>2016-04-11</td>\n",
       "      <td>21:01</td>\n",
       "      <td>@althohili Order On Pink Sheets\\nCompany  ~MJT...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$EXXI,$AAL,$X</td>\n",
       "      <td>-0.2263</td>\n",
       "      <td>0.160</td>\n",
       "      <td>0.840</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2016-04-11</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4914</th>\n",
       "      <td>2016-04-11</td>\n",
       "      <td>19:40</td>\n",
       "      <td>@iamerickuhn Order Up The Pink Sheets\\nCo. Tic...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$NVS,$KNSY,$AAL</td>\n",
       "      <td>0.5719</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.778</td>\n",
       "      <td>0.222</td>\n",
       "      <td>2016-04-11</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4919</th>\n",
       "      <td>2016-04-11</td>\n",
       "      <td>19:28</td>\n",
       "      <td>@zestyflpanthers OTCBB Buy Alert\\nOTC: $MJTV\\n...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$MJTV,$AAL</td>\n",
       "      <td>0.2960</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.761</td>\n",
       "      <td>0.239</td>\n",
       "      <td>2016-04-11</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4943</th>\n",
       "      <td>2016-04-11</td>\n",
       "      <td>18:27</td>\n",
       "      <td>@Mike_Inspire OTC Alert Buy\\n$MJTV\\nSold all: ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$MJTV,$AAL</td>\n",
       "      <td>0.2960</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.761</td>\n",
       "      <td>0.239</td>\n",
       "      <td>2016-04-11</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4952</th>\n",
       "      <td>2016-04-11</td>\n",
       "      <td>17:46</td>\n",
       "      <td>@daniellegrace56 Success this week, Buy\\nStock...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$DE,$AUY,$AAL</td>\n",
       "      <td>0.4199</td>\n",
       "      <td>0.115</td>\n",
       "      <td>0.677</td>\n",
       "      <td>0.208</td>\n",
       "      <td>2016-04-11</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5011</th>\n",
       "      <td>2016-04-11</td>\n",
       "      <td>14:19</td>\n",
       "      <td>@JGSales1 B U L L I S H ! B U Y A L E R T\\nSym...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>#OTCBB</td>\n",
       "      <td>$MJTV,$BHI,$AAL,$PSUN</td>\n",
       "      <td>-0.3595</td>\n",
       "      <td>0.217</td>\n",
       "      <td>0.783</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2016-04-11</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5026</th>\n",
       "      <td>2016-04-11</td>\n",
       "      <td>13:25</td>\n",
       "      <td>@MeharVik Monday Pick Insider Alert\\n#OTC #MJT...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>#OTC,#MJTV</td>\n",
       "      <td>$AAL</td>\n",
       "      <td>0.2960</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.804</td>\n",
       "      <td>0.196</td>\n",
       "      <td>2016-04-11</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5063</th>\n",
       "      <td>2016-04-11</td>\n",
       "      <td>10:28</td>\n",
       "      <td>@Tyger_Leone Purchased OTC Now\\nStock Symbol M...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>$LACDF,$AAL,$HOG</td>\n",
       "      <td>0.3412</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.862</td>\n",
       "      <td>0.138</td>\n",
       "      <td>2016-04-11</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date   Hour                                      Tweet content  \\\n",
       "1231  2016-05-27  23:25  Recap of HUGE Stock Market News today!\\nhttps:...   \n",
       "2414  2016-05-06  18:44  Oversold Airline Ready For A Quick Rebound. $A...   \n",
       "2712  2016-05-03  13:56  RT @stocktrader300: American Airlines $AAL at ...   \n",
       "4521  2016-04-13  09:06  Don't worry about $AAL @Free_Money_1 Giant Wed...   \n",
       "4540  2016-04-13  05:54  @KleinschmidtJD Do not wait around!\\nThe Symbo...   \n",
       "4558  2016-04-13  04:26  @eyesshare Stock Is Gonna Rock!\\nY! Symbol    ...   \n",
       "4572  2016-04-13  03:26  @jorgecra72 A #wallstreet Buy Today!\\nYahoo Fi...   \n",
       "4575  2016-04-13  03:01  My old picks $AAL @Ruben___Quezada Breaking Pi...   \n",
       "4587  2016-04-13  02:10  My old picks $AAL @dexterjaed Did you get your...   \n",
       "4591  2016-04-13  02:02  No more buys $AAL @JAKEinTV Pump Incoming On E...   \n",
       "4610  2016-04-13  01:11  Bye $AAL @HazelFruitman TWITTER ALERT Order  E...   \n",
       "4612  2016-04-13  00:48  Hold: $AAL @BradleyKothlow A True Wall Street ...   \n",
       "4634  2016-04-12  23:19  Other picks $AAL @sougo_sos Huge buys incoming...   \n",
       "4662  2016-04-12  21:55  Sold all: $AAL @FilmeramaProd Huge Tuesday New...   \n",
       "4670  2016-04-12  21:14  @lovmelikeyoudos !! TWITTER BUY ALERT !!\\nTick...   \n",
       "4693  2016-04-12  20:02  Don't worry about $AAL @MsT_VoYaGeR !! TWITTER...   \n",
       "4700  2016-04-12  19:32  @ALLAH_LOK Buy shares yet?\\nCo Symbol Ecoscien...   \n",
       "4713  2016-04-12  18:33  Old choices $AAL @Novot_Rad Wolf Worthy Pick! ...   \n",
       "4750  2016-04-12  16:25  @uwgb Order up on the bell!\\nTickr    Ecoscien...   \n",
       "4760  2016-04-12  15:54  @dartzie62 #monday #money #success\\nY! Symbol ...   \n",
       "4863  2016-04-11  23:48        @commentng Buy ASAP\\nOTC: MJTV\\nForget $AAL   \n",
       "4864  2016-04-11  23:45  @mytoy5 #Monday #Money #Buy\\nStock Symbol $MJT...   \n",
       "4882  2016-04-11  21:47  @LauraLetts1 Super high float order now\\nOTC: ...   \n",
       "4889  2016-04-11  21:01  @althohili Order On Pink Sheets\\nCompany  ~MJT...   \n",
       "4914  2016-04-11  19:40  @iamerickuhn Order Up The Pink Sheets\\nCo. Tic...   \n",
       "4919  2016-04-11  19:28  @zestyflpanthers OTCBB Buy Alert\\nOTC: $MJTV\\n...   \n",
       "4943  2016-04-11  18:27  @Mike_Inspire OTC Alert Buy\\n$MJTV\\nSold all: ...   \n",
       "4952  2016-04-11  17:46  @daniellegrace56 Success this week, Buy\\nStock...   \n",
       "5011  2016-04-11  14:19  @JGSales1 B U L L I S H ! B U Y A L E R T\\nSym...   \n",
       "5026  2016-04-11  13:25  @MeharVik Monday Pick Insider Alert\\n#OTC #MJT...   \n",
       "5063  2016-04-11  10:28  @Tyger_Leone Purchased OTC Now\\nStock Symbol M...   \n",
       "\n",
       "      Favs  RTs  Followers  Following  Is a RT                 Hashtags  \\\n",
       "1231   NaN  NaN        NaN        NaN    False                      NaN   \n",
       "2414   NaN  NaN        NaN        5.0    False                      NaN   \n",
       "2712   NaN  1.0        NaN        NaN     True                      NaN   \n",
       "4521   NaN  NaN        NaN        1.0    False                      NaN   \n",
       "4540   NaN  NaN        NaN       27.0    False                      NaN   \n",
       "4558   NaN  NaN        NaN       20.0    False                      NaN   \n",
       "4572   1.0  1.0        NaN        NaN    False              #wallstreet   \n",
       "4575   NaN  NaN        NaN        NaN    False                      NaN   \n",
       "4587   NaN  NaN        NaN        NaN    False                      NaN   \n",
       "4591   NaN  NaN        NaN       15.0    False                      NaN   \n",
       "4610   NaN  NaN        NaN        6.0    False                      NaN   \n",
       "4612   NaN  NaN        NaN        1.0    False                      NaN   \n",
       "4634   NaN  NaN        NaN        NaN    False                      NaN   \n",
       "4662   NaN  NaN        NaN        NaN    False                    #ECEZ   \n",
       "4670   NaN  NaN        NaN        1.0    False                      NaN   \n",
       "4693   NaN  NaN        NaN        3.0    False                      NaN   \n",
       "4700   NaN  NaN        NaN        NaN    False                      NaN   \n",
       "4713   NaN  NaN        NaN        3.0    False                      NaN   \n",
       "4750   NaN  NaN        NaN        NaN    False                      NaN   \n",
       "4760   NaN  NaN        NaN        NaN    False  #monday,#money,#success   \n",
       "4863   NaN  NaN        NaN        NaN    False                      NaN   \n",
       "4864   NaN  NaN        NaN        NaN    False      #Monday,#Money,#Buy   \n",
       "4882   NaN  NaN        NaN       10.0    False                      NaN   \n",
       "4889   NaN  NaN        NaN        NaN    False                      NaN   \n",
       "4914   NaN  NaN        NaN        NaN    False                      NaN   \n",
       "4919   NaN  NaN        NaN        5.0    False                      NaN   \n",
       "4943   NaN  NaN        NaN        NaN    False                      NaN   \n",
       "4952   NaN  NaN        NaN        NaN    False                      NaN   \n",
       "5011   NaN  NaN        NaN        1.0    False                   #OTCBB   \n",
       "5026   1.0  NaN        NaN        NaN    False               #OTC,#MJTV   \n",
       "5063   1.0  NaN        NaN        6.0    False                      NaN   \n",
       "\n",
       "                                                Symbols  compound    neg  \\\n",
       "1231  $A,$AAL,$ABT,$ABX,$AIG,$AMD,$AMZN,$B,$BA,$BABA...    0.5147  0.000   \n",
       "2414                                               $AAL    0.3612  0.000   \n",
       "2712                                               $AAL   -0.2732  0.208   \n",
       "4521                                         $AAL,$ECEZ    0.3412  0.000   \n",
       "4540                                    $BHI,$AKRX,$AAL   -0.5216  0.206   \n",
       "4558                                   $SPMO,$AAL,$IGLD   -0.4184  0.188   \n",
       "4572                                   $TSLA,$bdms,$AAL   -0.3595  0.161   \n",
       "4575                                               $AAL    0.5859  0.000   \n",
       "4587                                         $AAL,$ECEZ    0.2960  0.000   \n",
       "4591                                               $AAL   -0.2960  0.196   \n",
       "4610                                               $AAL    0.4466  0.000   \n",
       "4612                                               $AAL    0.4215  0.000   \n",
       "4634                                               $AAL    0.3182  0.000   \n",
       "4662                                               $AAL    0.3182  0.000   \n",
       "4670                                   $TNSU,$AAL,$SRPT    0.7584  0.000   \n",
       "4693                                         $AAL,$ECEZ    0.7584  0.000   \n",
       "4700                             $ECEZ,$BITI,$AAL,$ICPT    0.2960  0.000   \n",
       "4713                                         $AAL,$ECEZ    0.4926  0.000   \n",
       "4750                                   $QQQE,$BABA,$AAL   -0.3595  0.151   \n",
       "4760                                $ECEZ,$GG,$AAL,$BTX   -0.3595  0.161   \n",
       "4863                                               $AAL   -0.2263  0.241   \n",
       "4864                             $MJTV,$AUPH,$AAL,$LITE    0.5719  0.000   \n",
       "4882                                               $AAL    0.5994  0.000   \n",
       "4889                                      $EXXI,$AAL,$X   -0.2263  0.160   \n",
       "4914                                    $NVS,$KNSY,$AAL    0.5719  0.000   \n",
       "4919                                         $MJTV,$AAL    0.2960  0.000   \n",
       "4943                                         $MJTV,$AAL    0.2960  0.000   \n",
       "4952                                      $DE,$AUY,$AAL    0.4199  0.115   \n",
       "5011                              $MJTV,$BHI,$AAL,$PSUN   -0.3595  0.217   \n",
       "5026                                               $AAL    0.2960  0.000   \n",
       "5063                                   $LACDF,$AAL,$HOG    0.3412  0.000   \n",
       "\n",
       "        neu    pos   datetime  Compound_multiplied  \n",
       "1231  0.874  0.126 2016-05-27                  NaN  \n",
       "2414  0.737  0.263 2016-05-06                  NaN  \n",
       "2712  0.792  0.000 2016-05-03                  NaN  \n",
       "4521  0.806  0.194 2016-04-13                  NaN  \n",
       "4540  0.794  0.000 2016-04-13                  NaN  \n",
       "4558  0.812  0.000 2016-04-13                  NaN  \n",
       "4572  0.839  0.000 2016-04-13                  NaN  \n",
       "4575  0.774  0.226 2016-04-13                  NaN  \n",
       "4587  0.855  0.145 2016-04-13                  NaN  \n",
       "4591  0.804  0.000 2016-04-13                  NaN  \n",
       "4610  0.630  0.370 2016-04-13                  NaN  \n",
       "4612  0.763  0.237 2016-04-13                  NaN  \n",
       "4634  0.796  0.204 2016-04-12                  NaN  \n",
       "4662  0.753  0.247 2016-04-12                  NaN  \n",
       "4670  0.648  0.352 2016-04-12                  NaN  \n",
       "4693  0.628  0.372 2016-04-12                  NaN  \n",
       "4700  0.855  0.145 2016-04-12                  NaN  \n",
       "4713  0.738  0.262 2016-04-12                  NaN  \n",
       "4750  0.849  0.000 2016-04-12                  NaN  \n",
       "4760  0.839  0.000 2016-04-12                  NaN  \n",
       "4863  0.759  0.000 2016-04-11                  NaN  \n",
       "4864  0.748  0.252 2016-04-11                  NaN  \n",
       "4882  0.698  0.302 2016-04-11                  NaN  \n",
       "4889  0.840  0.000 2016-04-11                  NaN  \n",
       "4914  0.778  0.222 2016-04-11                  NaN  \n",
       "4919  0.761  0.239 2016-04-11                  NaN  \n",
       "4943  0.761  0.239 2016-04-11                  NaN  \n",
       "4952  0.677  0.208 2016-04-11                  NaN  \n",
       "5011  0.783  0.000 2016-04-11                  NaN  \n",
       "5026  0.804  0.196 2016-04-11                  NaN  \n",
       "5063  0.862  0.138 2016-04-11                  NaN  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nan_rows = df_tweet_SA[df_tweet_SA['Followers'].isnull()]\n",
    "nan_rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "df_tweet_SA = df_tweet_SA[np.isfinite(df_tweet_SA['Followers'])]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Scale the column \"Compound_multiplied\"\n",
    "From the book \"Hands-On machine Learning with Scikit-Learn & TensorFlow\" by Aurélien Géron p. 66- : <br>\n",
    "*If the aim is to validate the model alone, also test data can be scaled. In order to create a predictive algorithm only the train data should be scaled, not the test data. This is because in a predictive algorithm you need to be able to feed your model with new, unscaled data* <br>\n",
    "\n",
    "For my model the input data will be the daily average of compound multiplied with number of followers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2460"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#from sklearn.preprocessing import StandardScaler\n",
    "x_1 = df_tweet_SA[['Compound_multiplied']].values.astype(float)\n",
    "\n",
    "scaler = StandardScaler().fit(x_1)\n",
    "\n",
    "scaled_data = scaler.transform(x_1)\n",
    "\n",
    "df_tweet_SA['Compound_multiplied_scaled'] = scaled_data\n",
    "\n",
    "df_tweet_SA.tail()\n",
    "len(df_tweet_SA)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Create a dataframe with daily MEANS of each column \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Favs</th>\n",
       "      <th>RTs</th>\n",
       "      <th>Followers</th>\n",
       "      <th>Following</th>\n",
       "      <th>Is a RT</th>\n",
       "      <th>compound</th>\n",
       "      <th>neg</th>\n",
       "      <th>neu</th>\n",
       "      <th>pos</th>\n",
       "      <th>Compound_multiplied</th>\n",
       "      <th>Compound_multiplied_scaled</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datetime</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-06-10</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.333333</td>\n",
       "      <td>1193.150000</td>\n",
       "      <td>447.172414</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.349055</td>\n",
       "      <td>0.038217</td>\n",
       "      <td>0.784050</td>\n",
       "      <td>0.177733</td>\n",
       "      <td>556.882918</td>\n",
       "      <td>0.025694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-11</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>429.285714</td>\n",
       "      <td>509.666667</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.267514</td>\n",
       "      <td>0.029429</td>\n",
       "      <td>0.839143</td>\n",
       "      <td>0.131429</td>\n",
       "      <td>134.118771</td>\n",
       "      <td>0.013655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-12</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2011.500000</td>\n",
       "      <td>17.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.447250</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.695500</td>\n",
       "      <td>0.304500</td>\n",
       "      <td>862.483700</td>\n",
       "      <td>0.034397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-13</th>\n",
       "      <td>2.333333</td>\n",
       "      <td>12.428571</td>\n",
       "      <td>9949.040000</td>\n",
       "      <td>583.602740</td>\n",
       "      <td>0.240000</td>\n",
       "      <td>0.175157</td>\n",
       "      <td>0.063747</td>\n",
       "      <td>0.792840</td>\n",
       "      <td>0.143413</td>\n",
       "      <td>-2427.858701</td>\n",
       "      <td>-0.059304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-14</th>\n",
       "      <td>1.933333</td>\n",
       "      <td>5.611111</td>\n",
       "      <td>11960.423529</td>\n",
       "      <td>2060.790123</td>\n",
       "      <td>0.141176</td>\n",
       "      <td>-0.154785</td>\n",
       "      <td>0.144682</td>\n",
       "      <td>0.767647</td>\n",
       "      <td>0.087659</td>\n",
       "      <td>-6435.660252</td>\n",
       "      <td>-0.173436</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Favs        RTs     Followers    Following   Is a RT  \\\n",
       "datetime                                                               \n",
       "2016-06-10  2.000000   2.333333   1193.150000   447.172414  0.050000   \n",
       "2016-06-11       NaN   1.000000    429.285714   509.666667  0.142857   \n",
       "2016-06-12       NaN        NaN   2011.500000    17.500000  0.000000   \n",
       "2016-06-13  2.333333  12.428571   9949.040000   583.602740  0.240000   \n",
       "2016-06-14  1.933333   5.611111  11960.423529  2060.790123  0.141176   \n",
       "\n",
       "            compound       neg       neu       pos  Compound_multiplied  \\\n",
       "datetime                                                                  \n",
       "2016-06-10  0.349055  0.038217  0.784050  0.177733           556.882918   \n",
       "2016-06-11  0.267514  0.029429  0.839143  0.131429           134.118771   \n",
       "2016-06-12  0.447250  0.000000  0.695500  0.304500           862.483700   \n",
       "2016-06-13  0.175157  0.063747  0.792840  0.143413         -2427.858701   \n",
       "2016-06-14 -0.154785  0.144682  0.767647  0.087659         -6435.660252   \n",
       "\n",
       "            Compound_multiplied_scaled  \n",
       "datetime                                \n",
       "2016-06-10                    0.025694  \n",
       "2016-06-11                    0.013655  \n",
       "2016-06-12                    0.034397  \n",
       "2016-06-13                   -0.059304  \n",
       "2016-06-14                   -0.173436  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_daily_mean=(df_tweet_SA.groupby(df_tweet_SA.datetime).mean())\n",
    "\n",
    "df_daily_mean.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "75"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df_daily_mean)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Downloading stock data from Yahoo Finance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "#import pandas_datareader.data as web\n",
    "\n",
    "start = dt.datetime(2016, 4, 2)\n",
    "end =  dt.datetime(2016, 6, 14) #dt.datetime.now() \n",
    "\n",
    "df_stock = web.DataReader(stock, 'yahoo', start, end)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Open</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Adj Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-04-01</th>\n",
       "      <td>40.160000</td>\n",
       "      <td>39.270000</td>\n",
       "      <td>40.130001</td>\n",
       "      <td>39.520000</td>\n",
       "      <td>11244100.0</td>\n",
       "      <td>38.377888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-04-04</th>\n",
       "      <td>40.240002</td>\n",
       "      <td>39.150002</td>\n",
       "      <td>39.810001</td>\n",
       "      <td>39.369999</td>\n",
       "      <td>7831200.0</td>\n",
       "      <td>38.232220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-04-05</th>\n",
       "      <td>39.380001</td>\n",
       "      <td>38.740002</td>\n",
       "      <td>39.130001</td>\n",
       "      <td>38.930000</td>\n",
       "      <td>7648400.0</td>\n",
       "      <td>37.804943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-04-06</th>\n",
       "      <td>39.070000</td>\n",
       "      <td>38.340000</td>\n",
       "      <td>39.070000</td>\n",
       "      <td>38.900002</td>\n",
       "      <td>5645500.0</td>\n",
       "      <td>37.775810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-04-07</th>\n",
       "      <td>39.049999</td>\n",
       "      <td>37.910000</td>\n",
       "      <td>38.660000</td>\n",
       "      <td>38.360001</td>\n",
       "      <td>8206700.0</td>\n",
       "      <td>37.251411</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 High        Low       Open      Close      Volume  Adj Close\n",
       "Date                                                                         \n",
       "2016-04-01  40.160000  39.270000  40.130001  39.520000  11244100.0  38.377888\n",
       "2016-04-04  40.240002  39.150002  39.810001  39.369999   7831200.0  38.232220\n",
       "2016-04-05  39.380001  38.740002  39.130001  38.930000   7648400.0  37.804943\n",
       "2016-04-06  39.070000  38.340000  39.070000  38.900002   5645500.0  37.775810\n",
       "2016-04-07  39.049999  37.910000  38.660000  38.360001   8206700.0  37.251411"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_stock.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Rename columns to avoid mixup with possible other data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "df_stock.columns = ['High','Low','Open','Close','Volume_stock','Adj_Close_stock']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### New column for crude measure of volatility - stock (not used in the model)\n",
    "The % spread based on the closing price"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "df_stock['HiLo_vola_stock'] = (df_stock['High'] - df_stock['Low']) / df_stock['Adj_Close_stock'] * 100.0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### New column for daily percent change - stock"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "df_stock['Pct_change_stock'] = (df_stock['Close'] - df_stock['Open']) / df_stock['Open'] * 100.0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### New column for daily percent change scaled - stock"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Open</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume_stock</th>\n",
       "      <th>Adj_Close_stock</th>\n",
       "      <th>HiLo_vola_stock</th>\n",
       "      <th>Pct_change_stock</th>\n",
       "      <th>Pct_change_stock_scaled</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-06-08</th>\n",
       "      <td>32.970001</td>\n",
       "      <td>32.220001</td>\n",
       "      <td>32.630001</td>\n",
       "      <td>32.509998</td>\n",
       "      <td>8173100.0</td>\n",
       "      <td>31.661747</td>\n",
       "      <td>2.368789</td>\n",
       "      <td>-0.367768</td>\n",
       "      <td>0.067311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-09</th>\n",
       "      <td>33.580002</td>\n",
       "      <td>32.250000</td>\n",
       "      <td>32.250000</td>\n",
       "      <td>33.400002</td>\n",
       "      <td>8188300.0</td>\n",
       "      <td>32.528526</td>\n",
       "      <td>4.088725</td>\n",
       "      <td>3.565896</td>\n",
       "      <td>2.305596</td>\n",
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       "    <tr>\n",
       "      <th>2016-06-10</th>\n",
       "      <td>33.480000</td>\n",
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       "      <td>32.799999</td>\n",
       "      <td>33.139999</td>\n",
       "      <td>8252300.0</td>\n",
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       "      <td>1.036586</td>\n",
       "      <td>0.866399</td>\n",
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       "    <tr>\n",
       "      <th>2016-06-13</th>\n",
       "      <td>32.990002</td>\n",
       "      <td>31.639999</td>\n",
       "      <td>32.990002</td>\n",
       "      <td>31.799999</td>\n",
       "      <td>9225600.0</td>\n",
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       "      <td>4.359027</td>\n",
       "      <td>-3.607161</td>\n",
       "      <td>-1.775928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-14</th>\n",
       "      <td>31.969999</td>\n",
       "      <td>30.020000</td>\n",
       "      <td>31.809999</td>\n",
       "      <td>30.360001</td>\n",
       "      <td>13802900.0</td>\n",
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       "      <td>6.594999</td>\n",
       "      <td>-4.558311</td>\n",
       "      <td>-2.317140</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 High        Low       Open      Close  Volume_stock  \\\n",
       "Date                                                                   \n",
       "2016-06-08  32.970001  32.220001  32.630001  32.509998     8173100.0   \n",
       "2016-06-09  33.580002  32.250000  32.250000  33.400002     8188300.0   \n",
       "2016-06-10  33.480000  32.639999  32.799999  33.139999     8252300.0   \n",
       "2016-06-13  32.990002  31.639999  32.990002  31.799999     9225600.0   \n",
       "2016-06-14  31.969999  30.020000  31.809999  30.360001    13802900.0   \n",
       "\n",
       "            Adj_Close_stock  HiLo_vola_stock  Pct_change_stock  \\\n",
       "Date                                                             \n",
       "2016-06-08        31.661747         2.368789         -0.367768   \n",
       "2016-06-09        32.528526         4.088725          3.565896   \n",
       "2016-06-10        32.275303         2.602610          1.036586   \n",
       "2016-06-13        30.970270         4.359027         -3.607161   \n",
       "2016-06-14        29.567841         6.594999         -4.558311   \n",
       "\n",
       "            Pct_change_stock_scaled  \n",
       "Date                                 \n",
       "2016-06-08                 0.067311  \n",
       "2016-06-09                 2.305596  \n",
       "2016-06-10                 0.866399  \n",
       "2016-06-13                -1.775928  \n",
       "2016-06-14                -2.317140  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock_1 = df_stock[['Pct_change_stock']].values.astype(float)\n",
    "\n",
    "scaler = StandardScaler().fit(stock_1)\n",
    "\n",
    "scaled_data = scaler.transform(stock_1)\n",
    "\n",
    "df_stock['Pct_change_stock_scaled'] = scaled_data\n",
    "\n",
    "df_stock.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <th>Close</th>\n",
       "      <th>Volume_stock</th>\n",
       "      <th>Adj_Close_stock</th>\n",
       "      <th>HiLo_vola_stock</th>\n",
       "      <th>Pct_change_stock</th>\n",
       "      <th>Pct_change_stock_scaled</th>\n",
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       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th>2016-06-08</th>\n",
       "      <td>32.970001</td>\n",
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       "    <tr>\n",
       "      <th>2016-06-09</th>\n",
       "      <td>33.580002</td>\n",
       "      <td>32.250000</td>\n",
       "      <td>32.250000</td>\n",
       "      <td>33.400002</td>\n",
       "      <td>8188300.0</td>\n",
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       "      <td>2.305596</td>\n",
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       "    <tr>\n",
       "      <th>2016-06-10</th>\n",
       "      <td>33.480000</td>\n",
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       "      <td>32.799999</td>\n",
       "      <td>33.139999</td>\n",
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       "      <td>1.036586</td>\n",
       "      <td>0.866399</td>\n",
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       "    <tr>\n",
       "      <th>2016-06-13</th>\n",
       "      <td>32.990002</td>\n",
       "      <td>31.639999</td>\n",
       "      <td>32.990002</td>\n",
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       "    <tr>\n",
       "      <th>2016-06-14</th>\n",
       "      <td>31.969999</td>\n",
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       "      <td>31.809999</td>\n",
       "      <td>30.360001</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 High        Low       Open      Close  Volume_stock  \\\n",
       "Date                                                                   \n",
       "2016-06-08  32.970001  32.220001  32.630001  32.509998     8173100.0   \n",
       "2016-06-09  33.580002  32.250000  32.250000  33.400002     8188300.0   \n",
       "2016-06-10  33.480000  32.639999  32.799999  33.139999     8252300.0   \n",
       "2016-06-13  32.990002  31.639999  32.990002  31.799999     9225600.0   \n",
       "2016-06-14  31.969999  30.020000  31.809999  30.360001    13802900.0   \n",
       "\n",
       "            Adj_Close_stock  HiLo_vola_stock  Pct_change_stock  \\\n",
       "Date                                                             \n",
       "2016-06-08        31.661747         2.368789         -0.367768   \n",
       "2016-06-09        32.528526         4.088725          3.565896   \n",
       "2016-06-10        32.275303         2.602610          1.036586   \n",
       "2016-06-13        30.970270         4.359027         -3.607161   \n",
       "2016-06-14        29.567841         6.594999         -4.558311   \n",
       "\n",
       "            Pct_change_stock_scaled  \n",
       "Date                                 \n",
       "2016-06-08                 0.067311  \n",
       "2016-06-09                 2.305596  \n",
       "2016-06-10                 0.866399  \n",
       "2016-06-13                -1.775928  \n",
       "2016-06-14                -2.317140  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_stock.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Combine the tweet sentiment dataframe with the stock data dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <th>Volume_stock</th>\n",
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       "      <th>Pct_change_stock</th>\n",
       "      <th>Pct_change_stock_scaled</th>\n",
       "      <th>Favs</th>\n",
       "      <th>RTs</th>\n",
       "      <th>Followers</th>\n",
       "      <th>Following</th>\n",
       "      <th>Is a RT</th>\n",
       "      <th>compound</th>\n",
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       "      <th>2016-06-10</th>\n",
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       "      <td>0.038217</td>\n",
       "      <td>0.784050</td>\n",
       "      <td>0.177733</td>\n",
       "      <td>556.882918</td>\n",
       "      <td>0.025694</td>\n",
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       "      <th>2016-06-11</th>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>429.285714</td>\n",
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       "      <td>0.267514</td>\n",
       "      <td>0.029429</td>\n",
       "      <td>0.839143</td>\n",
       "      <td>0.131429</td>\n",
       "      <td>134.118771</td>\n",
       "      <td>0.013655</td>\n",
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       "    <tr>\n",
       "      <th>2016-06-12</th>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.304500</td>\n",
       "      <td>862.483700</td>\n",
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       "      <th>2016-06-13</th>\n",
       "      <td>9225600.0</td>\n",
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       "      <td>2.333333</td>\n",
       "      <td>12.428571</td>\n",
       "      <td>9949.040000</td>\n",
       "      <td>583.602740</td>\n",
       "      <td>0.240000</td>\n",
       "      <td>0.175157</td>\n",
       "      <td>0.063747</td>\n",
       "      <td>0.792840</td>\n",
       "      <td>0.143413</td>\n",
       "      <td>-2427.858701</td>\n",
       "      <td>-0.059304</td>\n",
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       "      <th>2016-06-14</th>\n",
       "      <td>13802900.0</td>\n",
       "      <td>29.567841</td>\n",
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       "      <td>1.933333</td>\n",
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       "      <td>2060.790123</td>\n",
       "      <td>0.141176</td>\n",
       "      <td>-0.154785</td>\n",
       "      <td>0.144682</td>\n",
       "      <td>0.767647</td>\n",
       "      <td>0.087659</td>\n",
       "      <td>-6435.660252</td>\n",
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      ],
      "text/plain": [
       "            Volume_stock  Adj_Close_stock  HiLo_vola_stock  Pct_change_stock  \\\n",
       "2016-06-10     8252300.0        32.275303         2.602610          1.036586   \n",
       "2016-06-11           NaN              NaN              NaN               NaN   \n",
       "2016-06-12           NaN              NaN              NaN               NaN   \n",
       "2016-06-13     9225600.0        30.970270         4.359027         -3.607161   \n",
       "2016-06-14    13802900.0        29.567841         6.594999         -4.558311   \n",
       "\n",
       "            Pct_change_stock_scaled      Favs        RTs     Followers  \\\n",
       "2016-06-10                 0.866399  2.000000   2.333333   1193.150000   \n",
       "2016-06-11                      NaN       NaN   1.000000    429.285714   \n",
       "2016-06-12                      NaN       NaN        NaN   2011.500000   \n",
       "2016-06-13                -1.775928  2.333333  12.428571   9949.040000   \n",
       "2016-06-14                -2.317140  1.933333   5.611111  11960.423529   \n",
       "\n",
       "              Following   Is a RT  compound       neg       neu       pos  \\\n",
       "2016-06-10   447.172414  0.050000  0.349055  0.038217  0.784050  0.177733   \n",
       "2016-06-11   509.666667  0.142857  0.267514  0.029429  0.839143  0.131429   \n",
       "2016-06-12    17.500000  0.000000  0.447250  0.000000  0.695500  0.304500   \n",
       "2016-06-13   583.602740  0.240000  0.175157  0.063747  0.792840  0.143413   \n",
       "2016-06-14  2060.790123  0.141176 -0.154785  0.144682  0.767647  0.087659   \n",
       "\n",
       "            Compound_multiplied  Compound_multiplied_scaled  \n",
       "2016-06-10           556.882918                    0.025694  \n",
       "2016-06-11           134.118771                    0.013655  \n",
       "2016-06-12           862.483700                    0.034397  \n",
       "2016-06-13         -2427.858701                   -0.059304  \n",
       "2016-06-14         -6435.660252                   -0.173436  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_full = pd.concat([df_stock[['Volume_stock','Adj_Close_stock','HiLo_vola_stock','Pct_change_stock', 'Pct_change_stock_scaled']],\\\n",
    "                     df_daily_mean], axis=1, sort=False)\n",
    "df_full.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Impute missing data with their means\n",
    "For some of the cashtag twitter data entire days were missing. For example, for $AMZN there were no tweets in the data at all for three days; 8.-10.6.\n",
    "\n",
    "Mean imputation replaces missing values with the mean value of that feature/variable. Mean imputation is one of the most ‘naive’ imputation methods because unlike more complex methods like k-nearest neighbors imputation, it does not use the information we have about an observation to estimate a value for it.\n",
    "\n",
    "It's not pretty, it's not fully accurate, but better than removing these days altogether. Besides, there might be other missing days for the other cashtag tweets and this cell fixes them all."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Volume_stock</th>\n",
       "      <th>Adj_Close_stock</th>\n",
       "      <th>HiLo_vola_stock</th>\n",
       "      <th>Pct_change_stock</th>\n",
       "      <th>Pct_change_stock_scaled</th>\n",
       "      <th>Favs</th>\n",
       "      <th>RTs</th>\n",
       "      <th>Followers</th>\n",
       "      <th>Following</th>\n",
       "      <th>Is a RT</th>\n",
       "      <th>compound</th>\n",
       "      <th>neg</th>\n",
       "      <th>neu</th>\n",
       "      <th>pos</th>\n",
       "      <th>Compound_multiplied</th>\n",
       "      <th>Compound_multiplied_scaled</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-06-10</th>\n",
       "      <td>8252300.0</td>\n",
       "      <td>32.275303</td>\n",
       "      <td>2.602610</td>\n",
       "      <td>1.036586</td>\n",
       "      <td>0.866399</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.333333</td>\n",
       "      <td>1193.150000</td>\n",
       "      <td>447.172414</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.349055</td>\n",
       "      <td>0.038217</td>\n",
       "      <td>0.784050</td>\n",
       "      <td>0.177733</td>\n",
       "      <td>556.882918</td>\n",
       "      <td>0.025694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-11</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.874387</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>429.285714</td>\n",
       "      <td>509.666667</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.267514</td>\n",
       "      <td>0.029429</td>\n",
       "      <td>0.839143</td>\n",
       "      <td>0.131429</td>\n",
       "      <td>134.118771</td>\n",
       "      <td>0.013655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-12</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.874387</td>\n",
       "      <td>2.406089</td>\n",
       "      <td>2011.500000</td>\n",
       "      <td>17.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.447250</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.695500</td>\n",
       "      <td>0.304500</td>\n",
       "      <td>862.483700</td>\n",
       "      <td>0.034397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-13</th>\n",
       "      <td>9225600.0</td>\n",
       "      <td>30.970270</td>\n",
       "      <td>4.359027</td>\n",
       "      <td>-3.607161</td>\n",
       "      <td>-1.775928</td>\n",
       "      <td>2.333333</td>\n",
       "      <td>12.428571</td>\n",
       "      <td>9949.040000</td>\n",
       "      <td>583.602740</td>\n",
       "      <td>0.240000</td>\n",
       "      <td>0.175157</td>\n",
       "      <td>0.063747</td>\n",
       "      <td>0.792840</td>\n",
       "      <td>0.143413</td>\n",
       "      <td>-2427.858701</td>\n",
       "      <td>-0.059304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-14</th>\n",
       "      <td>13802900.0</td>\n",
       "      <td>29.567841</td>\n",
       "      <td>6.594999</td>\n",
       "      <td>-4.558311</td>\n",
       "      <td>-2.317140</td>\n",
       "      <td>1.933333</td>\n",
       "      <td>5.611111</td>\n",
       "      <td>11960.423529</td>\n",
       "      <td>2060.790123</td>\n",
       "      <td>0.141176</td>\n",
       "      <td>-0.154785</td>\n",
       "      <td>0.144682</td>\n",
       "      <td>0.767647</td>\n",
       "      <td>0.087659</td>\n",
       "      <td>-6435.660252</td>\n",
       "      <td>-0.173436</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Volume_stock  Adj_Close_stock  HiLo_vola_stock  Pct_change_stock  \\\n",
       "2016-06-10     8252300.0        32.275303         2.602610          1.036586   \n",
       "2016-06-11           NaN              NaN              NaN               NaN   \n",
       "2016-06-12           NaN              NaN              NaN               NaN   \n",
       "2016-06-13     9225600.0        30.970270         4.359027         -3.607161   \n",
       "2016-06-14    13802900.0        29.567841         6.594999         -4.558311   \n",
       "\n",
       "            Pct_change_stock_scaled      Favs        RTs     Followers  \\\n",
       "2016-06-10                 0.866399  2.000000   2.333333   1193.150000   \n",
       "2016-06-11                      NaN  1.874387   1.000000    429.285714   \n",
       "2016-06-12                      NaN  1.874387   2.406089   2011.500000   \n",
       "2016-06-13                -1.775928  2.333333  12.428571   9949.040000   \n",
       "2016-06-14                -2.317140  1.933333   5.611111  11960.423529   \n",
       "\n",
       "              Following   Is a RT  compound       neg       neu       pos  \\\n",
       "2016-06-10   447.172414  0.050000  0.349055  0.038217  0.784050  0.177733   \n",
       "2016-06-11   509.666667  0.142857  0.267514  0.029429  0.839143  0.131429   \n",
       "2016-06-12    17.500000  0.000000  0.447250  0.000000  0.695500  0.304500   \n",
       "2016-06-13   583.602740  0.240000  0.175157  0.063747  0.792840  0.143413   \n",
       "2016-06-14  2060.790123  0.141176 -0.154785  0.144682  0.767647  0.087659   \n",
       "\n",
       "            Compound_multiplied  Compound_multiplied_scaled  \n",
       "2016-06-10           556.882918                    0.025694  \n",
       "2016-06-11           134.118771                    0.013655  \n",
       "2016-06-12           862.483700                    0.034397  \n",
       "2016-06-13         -2427.858701                   -0.059304  \n",
       "2016-06-14         -6435.660252                   -0.173436  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_full['Favs'].fillna(df_full['Favs'].mean(), inplace=True)\n",
    "df_full['RTs'].fillna(df_full['RTs'].mean(), inplace=True)\n",
    "df_full['Followers'].fillna(df_full['Followers'].mean(), inplace=True)\n",
    "df_full['Following'].fillna(df_full['Following'].mean(), inplace=True)\n",
    "df_full['Is a RT'].fillna(df_full['Is a RT'].mean(), inplace=True)\n",
    "df_full['compound'].fillna(df_full['compound'].mean(), inplace=True)\n",
    "df_full['neg'].fillna(df_full['neg'].mean(), inplace=True)\n",
    "df_full['neu'].fillna(df_full['neu'].mean(), inplace=True)\n",
    "df_full['pos'].fillna(df_full['pos'].mean(), inplace=True)\n",
    "df_full['Compound_multiplied'].fillna(df_full['Compound_multiplied'].mean(), inplace=True)\n",
    "df_full['Compound_multiplied_scaled'].fillna(df_full['Compound_multiplied_scaled'].mean(), inplace=True)\n",
    "\n",
    "df_full.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Interpolate for missing weekend stock data!\n",
    "NOTE! Last date 2016-06-14 has no values (=NaN) for 'Predicted_change_stock' or 'Buy/Sell'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "df_full[[ \"Volume_stock\", \"Adj_Close_stock\", \"HiLo_vola_stock\", \"Pct_change_stock\", \"Pct_change_stock_scaled\"]] = \\\n",
    "df_full[[ \"Volume_stock\", \"Adj_Close_stock\", \"HiLo_vola_stock\", \"Pct_change_stock\", \"Pct_change_stock_scaled\"]] \\\n",
    ".interpolate(method='linear', limit_direction='forward', axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Volume_stock</th>\n",
       "      <th>Adj_Close_stock</th>\n",
       "      <th>HiLo_vola_stock</th>\n",
       "      <th>Pct_change_stock</th>\n",
       "      <th>Pct_change_stock_scaled</th>\n",
       "      <th>Favs</th>\n",
       "      <th>RTs</th>\n",
       "      <th>Followers</th>\n",
       "      <th>Following</th>\n",
       "      <th>Is a RT</th>\n",
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       "      <th>Compound_multiplied_scaled</th>\n",
       "      <th>Predicted_change_stock</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-06-04</th>\n",
       "      <td>1.106120e+07</td>\n",
       "      <td>30.152184</td>\n",
       "      <td>3.740079</td>\n",
       "      <td>-1.115272</td>\n",
       "      <td>-0.358024</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.857143</td>\n",
       "      <td>11748.400000</td>\n",
       "      <td>8271.600000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.164890</td>\n",
       "      <td>0.048700</td>\n",
       "      <td>0.859800</td>\n",
       "      <td>0.091500</td>\n",
       "      <td>1890.126790</td>\n",
       "      <td>0.063662</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-05</th>\n",
       "      <td>9.698300e+06</td>\n",
       "      <td>30.298271</td>\n",
       "      <td>3.380993</td>\n",
       "      <td>0.238594</td>\n",
       "      <td>0.412336</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3343.833333</td>\n",
       "      <td>2301.000000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.071350</td>\n",
       "      <td>0.082583</td>\n",
       "      <td>0.802833</td>\n",
       "      <td>0.114583</td>\n",
       "      <td>-494.569925</td>\n",
       "      <td>-0.004249</td>\n",
       "      <td>1.592459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-06</th>\n",
       "      <td>8.335400e+06</td>\n",
       "      <td>30.444357</td>\n",
       "      <td>3.021907</td>\n",
       "      <td>1.592459</td>\n",
       "      <td>1.182696</td>\n",
       "      <td>1.400000</td>\n",
       "      <td>1.272727</td>\n",
       "      <td>1925.260000</td>\n",
       "      <td>1165.224490</td>\n",
       "      <td>0.120000</td>\n",
       "      <td>0.072122</td>\n",
       "      <td>0.098120</td>\n",
       "      <td>0.769640</td>\n",
       "      <td>0.132240</td>\n",
       "      <td>-40.725044</td>\n",
       "      <td>0.008676</td>\n",
       "      <td>2.860781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-07</th>\n",
       "      <td>1.242420e+07</td>\n",
       "      <td>31.515663</td>\n",
       "      <td>5.616250</td>\n",
       "      <td>2.860781</td>\n",
       "      <td>1.904380</td>\n",
       "      <td>2.600000</td>\n",
       "      <td>5.631579</td>\n",
       "      <td>37904.563380</td>\n",
       "      <td>1758.200000</td>\n",
       "      <td>0.183099</td>\n",
       "      <td>0.215059</td>\n",
       "      <td>0.055380</td>\n",
       "      <td>0.785408</td>\n",
       "      <td>0.159197</td>\n",
       "      <td>-24255.853656</td>\n",
       "      <td>-0.680912</td>\n",
       "      <td>-0.367768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-08</th>\n",
       "      <td>8.173100e+06</td>\n",
       "      <td>31.661747</td>\n",
       "      <td>2.368789</td>\n",
       "      <td>-0.367768</td>\n",
       "      <td>0.067311</td>\n",
       "      <td>1.400000</td>\n",
       "      <td>4.333333</td>\n",
       "      <td>1591.153846</td>\n",
       "      <td>1270.800000</td>\n",
       "      <td>0.076923</td>\n",
       "      <td>0.108962</td>\n",
       "      <td>0.072923</td>\n",
       "      <td>0.796000</td>\n",
       "      <td>0.131077</td>\n",
       "      <td>385.432088</td>\n",
       "      <td>0.020812</td>\n",
       "      <td>3.565896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-09</th>\n",
       "      <td>8.188300e+06</td>\n",
       "      <td>32.528526</td>\n",
       "      <td>4.088725</td>\n",
       "      <td>3.565896</td>\n",
       "      <td>2.305596</td>\n",
       "      <td>1.750000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1086.266667</td>\n",
       "      <td>879.620690</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.297437</td>\n",
       "      <td>0.041367</td>\n",
       "      <td>0.779367</td>\n",
       "      <td>0.179300</td>\n",
       "      <td>247.009377</td>\n",
       "      <td>0.016870</td>\n",
       "      <td>1.036586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-10</th>\n",
       "      <td>8.252300e+06</td>\n",
       "      <td>32.275303</td>\n",
       "      <td>2.602610</td>\n",
       "      <td>1.036586</td>\n",
       "      <td>0.866399</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.333333</td>\n",
       "      <td>1193.150000</td>\n",
       "      <td>447.172414</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.349055</td>\n",
       "      <td>0.038217</td>\n",
       "      <td>0.784050</td>\n",
       "      <td>0.177733</td>\n",
       "      <td>556.882918</td>\n",
       "      <td>0.025694</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-11</th>\n",
       "      <td>8.576733e+06</td>\n",
       "      <td>31.840292</td>\n",
       "      <td>3.188082</td>\n",
       "      <td>-0.511330</td>\n",
       "      <td>-0.014376</td>\n",
       "      <td>1.874387</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>429.285714</td>\n",
       "      <td>509.666667</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.267514</td>\n",
       "      <td>0.029429</td>\n",
       "      <td>0.839143</td>\n",
       "      <td>0.131429</td>\n",
       "      <td>134.118771</td>\n",
       "      <td>0.013655</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-12</th>\n",
       "      <td>8.901167e+06</td>\n",
       "      <td>31.405281</td>\n",
       "      <td>3.773554</td>\n",
       "      <td>-2.059245</td>\n",
       "      <td>-0.895152</td>\n",
       "      <td>1.874387</td>\n",
       "      <td>2.406089</td>\n",
       "      <td>2011.500000</td>\n",
       "      <td>17.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.447250</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.695500</td>\n",
       "      <td>0.304500</td>\n",
       "      <td>862.483700</td>\n",
       "      <td>0.034397</td>\n",
       "      <td>-3.607161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-13</th>\n",
       "      <td>9.225600e+06</td>\n",
       "      <td>30.970270</td>\n",
       "      <td>4.359027</td>\n",
       "      <td>-3.607161</td>\n",
       "      <td>-1.775928</td>\n",
       "      <td>2.333333</td>\n",
       "      <td>12.428571</td>\n",
       "      <td>9949.040000</td>\n",
       "      <td>583.602740</td>\n",
       "      <td>0.240000</td>\n",
       "      <td>0.175157</td>\n",
       "      <td>0.063747</td>\n",
       "      <td>0.792840</td>\n",
       "      <td>0.143413</td>\n",
       "      <td>-2427.858701</td>\n",
       "      <td>-0.059304</td>\n",
       "      <td>-4.558311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-14</th>\n",
       "      <td>1.380290e+07</td>\n",
       "      <td>29.567841</td>\n",
       "      <td>6.594999</td>\n",
       "      <td>-4.558311</td>\n",
       "      <td>-2.317140</td>\n",
       "      <td>1.933333</td>\n",
       "      <td>5.611111</td>\n",
       "      <td>11960.423529</td>\n",
       "      <td>2060.790123</td>\n",
       "      <td>0.141176</td>\n",
       "      <td>-0.154785</td>\n",
       "      <td>0.144682</td>\n",
       "      <td>0.767647</td>\n",
       "      <td>0.087659</td>\n",
       "      <td>-6435.660252</td>\n",
       "      <td>-0.173436</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Volume_stock  Adj_Close_stock  HiLo_vola_stock  Pct_change_stock  \\\n",
       "2016-06-04  1.106120e+07        30.152184         3.740079         -1.115272   \n",
       "2016-06-05  9.698300e+06        30.298271         3.380993          0.238594   \n",
       "2016-06-06  8.335400e+06        30.444357         3.021907          1.592459   \n",
       "2016-06-07  1.242420e+07        31.515663         5.616250          2.860781   \n",
       "2016-06-08  8.173100e+06        31.661747         2.368789         -0.367768   \n",
       "2016-06-09  8.188300e+06        32.528526         4.088725          3.565896   \n",
       "2016-06-10  8.252300e+06        32.275303         2.602610          1.036586   \n",
       "2016-06-11  8.576733e+06        31.840292         3.188082         -0.511330   \n",
       "2016-06-12  8.901167e+06        31.405281         3.773554         -2.059245   \n",
       "2016-06-13  9.225600e+06        30.970270         4.359027         -3.607161   \n",
       "2016-06-14  1.380290e+07        29.567841         6.594999         -4.558311   \n",
       "\n",
       "            Pct_change_stock_scaled      Favs        RTs     Followers  \\\n",
       "2016-06-04                -0.358024  2.000000   2.857143  11748.400000   \n",
       "2016-06-05                 0.412336  1.000000   1.000000   3343.833333   \n",
       "2016-06-06                 1.182696  1.400000   1.272727   1925.260000   \n",
       "2016-06-07                 1.904380  2.600000   5.631579  37904.563380   \n",
       "2016-06-08                 0.067311  1.400000   4.333333   1591.153846   \n",
       "2016-06-09                 2.305596  1.750000   3.000000   1086.266667   \n",
       "2016-06-10                 0.866399  2.000000   2.333333   1193.150000   \n",
       "2016-06-11                -0.014376  1.874387   1.000000    429.285714   \n",
       "2016-06-12                -0.895152  1.874387   2.406089   2011.500000   \n",
       "2016-06-13                -1.775928  2.333333  12.428571   9949.040000   \n",
       "2016-06-14                -2.317140  1.933333   5.611111  11960.423529   \n",
       "\n",
       "              Following   Is a RT  compound       neg       neu       pos  \\\n",
       "2016-06-04  8271.600000  0.600000  0.164890  0.048700  0.859800  0.091500   \n",
       "2016-06-05  2301.000000  0.083333  0.071350  0.082583  0.802833  0.114583   \n",
       "2016-06-06  1165.224490  0.120000  0.072122  0.098120  0.769640  0.132240   \n",
       "2016-06-07  1758.200000  0.183099  0.215059  0.055380  0.785408  0.159197   \n",
       "2016-06-08  1270.800000  0.076923  0.108962  0.072923  0.796000  0.131077   \n",
       "2016-06-09   879.620690  0.200000  0.297437  0.041367  0.779367  0.179300   \n",
       "2016-06-10   447.172414  0.050000  0.349055  0.038217  0.784050  0.177733   \n",
       "2016-06-11   509.666667  0.142857  0.267514  0.029429  0.839143  0.131429   \n",
       "2016-06-12    17.500000  0.000000  0.447250  0.000000  0.695500  0.304500   \n",
       "2016-06-13   583.602740  0.240000  0.175157  0.063747  0.792840  0.143413   \n",
       "2016-06-14  2060.790123  0.141176 -0.154785  0.144682  0.767647  0.087659   \n",
       "\n",
       "            Compound_multiplied  Compound_multiplied_scaled  \\\n",
       "2016-06-04          1890.126790                    0.063662   \n",
       "2016-06-05          -494.569925                   -0.004249   \n",
       "2016-06-06           -40.725044                    0.008676   \n",
       "2016-06-07        -24255.853656                   -0.680912   \n",
       "2016-06-08           385.432088                    0.020812   \n",
       "2016-06-09           247.009377                    0.016870   \n",
       "2016-06-10           556.882918                    0.025694   \n",
       "2016-06-11           134.118771                    0.013655   \n",
       "2016-06-12           862.483700                    0.034397   \n",
       "2016-06-13         -2427.858701                   -0.059304   \n",
       "2016-06-14         -6435.660252                   -0.173436   \n",
       "\n",
       "            Predicted_change_stock  \n",
       "2016-06-04                     NaN  \n",
       "2016-06-05                1.592459  \n",
       "2016-06-06                2.860781  \n",
       "2016-06-07               -0.367768  \n",
       "2016-06-08                3.565896  \n",
       "2016-06-09                1.036586  \n",
       "2016-06-10                     NaN  \n",
       "2016-06-11                     NaN  \n",
       "2016-06-12               -3.607161  \n",
       "2016-06-13               -4.558311  \n",
       "2016-06-14                     NaN  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_full.tail(11)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Volume_stock</th>\n",
       "      <th>Adj_Close_stock</th>\n",
       "      <th>HiLo_vola_stock</th>\n",
       "      <th>Pct_change_stock</th>\n",
       "      <th>Pct_change_stock_scaled</th>\n",
       "      <th>Favs</th>\n",
       "      <th>RTs</th>\n",
       "      <th>Followers</th>\n",
       "      <th>Following</th>\n",
       "      <th>Is a RT</th>\n",
       "      <th>compound</th>\n",
       "      <th>neg</th>\n",
       "      <th>neu</th>\n",
       "      <th>pos</th>\n",
       "      <th>Compound_multiplied</th>\n",
       "      <th>Compound_multiplied_scaled</th>\n",
       "      <th>Predicted_change_stock</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>7.500000e+01</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>51.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>9.785516e+06</td>\n",
       "      <td>33.938007</td>\n",
       "      <td>2.916282</td>\n",
       "      <td>-0.501903</td>\n",
       "      <td>-0.009012</td>\n",
       "      <td>1.874387</td>\n",
       "      <td>2.406089</td>\n",
       "      <td>4262.763227</td>\n",
       "      <td>1061.288181</td>\n",
       "      <td>0.136964</td>\n",
       "      <td>0.213484</td>\n",
       "      <td>0.056700</td>\n",
       "      <td>0.796477</td>\n",
       "      <td>0.146825</td>\n",
       "      <td>350.732342</td>\n",
       "      <td>0.019824</td>\n",
       "      <td>-0.465790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.157759e+06</td>\n",
       "      <td>3.353530</td>\n",
       "      <td>1.081849</td>\n",
       "      <td>1.575422</td>\n",
       "      <td>0.896427</td>\n",
       "      <td>1.479771</td>\n",
       "      <td>1.807123</td>\n",
       "      <td>6218.179968</td>\n",
       "      <td>1176.784517</td>\n",
       "      <td>0.142211</td>\n",
       "      <td>0.137006</td>\n",
       "      <td>0.029326</td>\n",
       "      <td>0.036805</td>\n",
       "      <td>0.041124</td>\n",
       "      <td>3280.023130</td>\n",
       "      <td>0.093407</td>\n",
       "      <td>1.786157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>5.018200e+06</td>\n",
       "      <td>29.567841</td>\n",
       "      <td>1.373308</td>\n",
       "      <td>-5.089362</td>\n",
       "      <td>-2.619312</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.154785</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.695500</td>\n",
       "      <td>0.063667</td>\n",
       "      <td>-24255.853656</td>\n",
       "      <td>-0.680912</td>\n",
       "      <td>-5.089362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>7.359567e+06</td>\n",
       "      <td>31.083892</td>\n",
       "      <td>2.061459</td>\n",
       "      <td>-1.312659</td>\n",
       "      <td>-0.470339</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1442.301923</td>\n",
       "      <td>397.994906</td>\n",
       "      <td>0.034483</td>\n",
       "      <td>0.119104</td>\n",
       "      <td>0.038337</td>\n",
       "      <td>0.780361</td>\n",
       "      <td>0.125411</td>\n",
       "      <td>109.081598</td>\n",
       "      <td>0.012942</td>\n",
       "      <td>-1.258754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>9.096200e+06</td>\n",
       "      <td>32.168182</td>\n",
       "      <td>2.781946</td>\n",
       "      <td>-0.435112</td>\n",
       "      <td>0.028992</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>2.333333</td>\n",
       "      <td>2611.916667</td>\n",
       "      <td>734.230769</td>\n",
       "      <td>0.102041</td>\n",
       "      <td>0.214486</td>\n",
       "      <td>0.058314</td>\n",
       "      <td>0.796750</td>\n",
       "      <td>0.137263</td>\n",
       "      <td>397.263475</td>\n",
       "      <td>0.021149</td>\n",
       "      <td>-0.402718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.162440e+07</td>\n",
       "      <td>37.424595</td>\n",
       "      <td>3.622599</td>\n",
       "      <td>0.460723</td>\n",
       "      <td>0.538729</td>\n",
       "      <td>1.966667</td>\n",
       "      <td>2.641667</td>\n",
       "      <td>4674.610227</td>\n",
       "      <td>1411.933036</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.268787</td>\n",
       "      <td>0.074167</td>\n",
       "      <td>0.816603</td>\n",
       "      <td>0.161040</td>\n",
       "      <td>1093.043631</td>\n",
       "      <td>0.040963</td>\n",
       "      <td>0.903489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2.093950e+07</td>\n",
       "      <td>40.145294</td>\n",
       "      <td>6.594999</td>\n",
       "      <td>3.565896</td>\n",
       "      <td>2.305596</td>\n",
       "      <td>10.666667</td>\n",
       "      <td>12.428571</td>\n",
       "      <td>37904.563380</td>\n",
       "      <td>8271.600000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.851300</td>\n",
       "      <td>0.144682</td>\n",
       "      <td>0.865750</td>\n",
       "      <td>0.304500</td>\n",
       "      <td>7057.999731</td>\n",
       "      <td>0.210830</td>\n",
       "      <td>3.565896</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Volume_stock  Adj_Close_stock  HiLo_vola_stock  Pct_change_stock  \\\n",
       "count  7.500000e+01        75.000000        75.000000         75.000000   \n",
       "mean   9.785516e+06        33.938007         2.916282         -0.501903   \n",
       "std    3.157759e+06         3.353530         1.081849          1.575422   \n",
       "min    5.018200e+06        29.567841         1.373308         -5.089362   \n",
       "25%    7.359567e+06        31.083892         2.061459         -1.312659   \n",
       "50%    9.096200e+06        32.168182         2.781946         -0.435112   \n",
       "75%    1.162440e+07        37.424595         3.622599          0.460723   \n",
       "max    2.093950e+07        40.145294         6.594999          3.565896   \n",
       "\n",
       "       Pct_change_stock_scaled       Favs        RTs     Followers  \\\n",
       "count                75.000000  75.000000  75.000000     75.000000   \n",
       "mean                 -0.009012   1.874387   2.406089   4262.763227   \n",
       "std                   0.896427   1.479771   1.807123   6218.179968   \n",
       "min                  -2.619312   1.000000   1.000000     28.000000   \n",
       "25%                  -0.470339   1.000000   1.000000   1442.301923   \n",
       "50%                   0.028992   1.500000   2.333333   2611.916667   \n",
       "75%                   0.538729   1.966667   2.641667   4674.610227   \n",
       "max                   2.305596  10.666667  12.428571  37904.563380   \n",
       "\n",
       "         Following    Is a RT   compound        neg        neu        pos  \\\n",
       "count    75.000000  75.000000  75.000000  75.000000  75.000000  75.000000   \n",
       "mean   1061.288181   0.136964   0.213484   0.056700   0.796477   0.146825   \n",
       "std    1176.784517   0.142211   0.137006   0.029326   0.036805   0.041124   \n",
       "min      11.000000   0.000000  -0.154785   0.000000   0.695500   0.063667   \n",
       "25%     397.994906   0.034483   0.119104   0.038337   0.780361   0.125411   \n",
       "50%     734.230769   0.102041   0.214486   0.058314   0.796750   0.137263   \n",
       "75%    1411.933036   0.200000   0.268787   0.074167   0.816603   0.161040   \n",
       "max    8271.600000   0.600000   0.851300   0.144682   0.865750   0.304500   \n",
       "\n",
       "       Compound_multiplied  Compound_multiplied_scaled  Predicted_change_stock  \n",
       "count            75.000000                   75.000000               51.000000  \n",
       "mean            350.732342                    0.019824               -0.465790  \n",
       "std            3280.023130                    0.093407                1.786157  \n",
       "min          -24255.853656                   -0.680912               -5.089362  \n",
       "25%             109.081598                    0.012942               -1.258754  \n",
       "50%             397.263475                    0.021149               -0.402718  \n",
       "75%            1093.043631                    0.040963                0.903489  \n",
       "max            7057.999731                    0.210830                3.565896  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame.describe(df_full)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Create  'label' -column for the forecast; 'Predicted_change' for the next day\n",
    "With forecasting, you want to forecast out a certain number of datapoints. Let's we want to forecast out 1% of the entire length of the dataset. Thus, if our data is 100 days of stock prices and you are just trying to predict tomorrow's price, then you would just do 1 day out, and the forecast would be just one day out. If you predict 10 days out, you can actually generate a forecast for every day, for the next week and a half.\n",
    "\n",
    "In this case, with 74 days of data, one day would reprecent 1.3% of the data\n",
    "\n",
    "I just add a new column - 'Predicted_change' - into the dataframe with a simple pandas operation:\n",
    "\n",
    "Previous day's 'Compound_multiplied_scaled' should predict next day's 'Pct_change'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "#import math\n",
    "\n",
    "forecast_col = 'Pct_change_stock'\n",
    "\n",
    "forecast_out = int(math.ceil(0.013 * len(df_full)))\n",
    "\n",
    "df_full['Predicted_change_stock'] = df_full[forecast_col].shift(-forecast_out)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Create another 'label' -column - 'Buy/Sell' - which is 1 if 'Predicted_change' is positive (=buy) and -1 if negative (=sell)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "buy_or_sell = []\n",
    "\n",
    "for row in df_full['Pct_change_stock']:\n",
    "    if row >= 0:\n",
    "        buy_or_sell.append(1)\n",
    "    elif row < 0:\n",
    "        buy_or_sell.append(-1) \n",
    "\n",
    "#Adds -1 or +1 to the column based on if 'Predicted_change' is negative or positive\n",
    "df_full['Buy/Sell'] = buy_or_sell\n",
    "\n",
    "# The 'Buy/Sell' values need to be shifted up one row to match the 'Predicted_change' values\n",
    "df_full['Buy/Sell'] = df_full['Buy/Sell'].shift(-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Volume_stock</th>\n",
       "      <th>Adj_Close_stock</th>\n",
       "      <th>HiLo_vola_stock</th>\n",
       "      <th>Pct_change_stock</th>\n",
       "      <th>Pct_change_stock_scaled</th>\n",
       "      <th>Favs</th>\n",
       "      <th>RTs</th>\n",
       "      <th>Followers</th>\n",
       "      <th>Following</th>\n",
       "      <th>Is a RT</th>\n",
       "      <th>compound</th>\n",
       "      <th>neg</th>\n",
       "      <th>neu</th>\n",
       "      <th>pos</th>\n",
       "      <th>Compound_multiplied</th>\n",
       "      <th>Compound_multiplied_scaled</th>\n",
       "      <th>Predicted_change_stock</th>\n",
       "      <th>Buy/Sell</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-04-01</th>\n",
       "      <td>1.124410e+07</td>\n",
       "      <td>38.377888</td>\n",
       "      <td>2.319042</td>\n",
       "      <td>-1.520061</td>\n",
       "      <td>-0.588352</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.277778</td>\n",
       "      <td>3483.490566</td>\n",
       "      <td>512.270833</td>\n",
       "      <td>0.188679</td>\n",
       "      <td>0.248249</td>\n",
       "      <td>0.051698</td>\n",
       "      <td>0.803811</td>\n",
       "      <td>0.144528</td>\n",
       "      <td>799.881585</td>\n",
       "      <td>0.032614</td>\n",
       "      <td>-1.381793</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-04-02</th>\n",
       "      <td>1.010647e+07</td>\n",
       "      <td>38.329332</td>\n",
       "      <td>2.496361</td>\n",
       "      <td>-1.381793</td>\n",
       "      <td>-0.509677</td>\n",
       "      <td>1.333333</td>\n",
       "      <td>1.666667</td>\n",
       "      <td>5238.117647</td>\n",
       "      <td>2276.687500</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.255753</td>\n",
       "      <td>0.050118</td>\n",
       "      <td>0.836235</td>\n",
       "      <td>0.113647</td>\n",
       "      <td>2217.239547</td>\n",
       "      <td>0.072977</td>\n",
       "      <td>-1.243524</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-04-03</th>\n",
       "      <td>8.968833e+06</td>\n",
       "      <td>38.280776</td>\n",
       "      <td>2.673680</td>\n",
       "      <td>-1.243524</td>\n",
       "      <td>-0.431001</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>13061.500000</td>\n",
       "      <td>1404.937500</td>\n",
       "      <td>0.062500</td>\n",
       "      <td>0.459862</td>\n",
       "      <td>0.007687</td>\n",
       "      <td>0.799313</td>\n",
       "      <td>0.193000</td>\n",
       "      <td>7057.999731</td>\n",
       "      <td>0.210830</td>\n",
       "      <td>-1.105256</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-04-04</th>\n",
       "      <td>7.831200e+06</td>\n",
       "      <td>38.232220</td>\n",
       "      <td>2.850999</td>\n",
       "      <td>-1.105256</td>\n",
       "      <td>-0.352325</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1619.800000</td>\n",
       "      <td>592.046512</td>\n",
       "      <td>0.044444</td>\n",
       "      <td>-0.003424</td>\n",
       "      <td>0.081378</td>\n",
       "      <td>0.804844</td>\n",
       "      <td>0.113800</td>\n",
       "      <td>-691.771638</td>\n",
       "      <td>-0.009864</td>\n",
       "      <td>-0.511119</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-04-05</th>\n",
       "      <td>7.648400e+06</td>\n",
       "      <td>37.804943</td>\n",
       "      <td>1.692899</td>\n",
       "      <td>-0.511119</td>\n",
       "      <td>-0.014256</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.406089</td>\n",
       "      <td>2079.740741</td>\n",
       "      <td>100.038462</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.232252</td>\n",
       "      <td>0.059926</td>\n",
       "      <td>0.783296</td>\n",
       "      <td>0.156778</td>\n",
       "      <td>136.017004</td>\n",
       "      <td>0.013709</td>\n",
       "      <td>-0.435112</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Volume_stock  Adj_Close_stock  HiLo_vola_stock  Pct_change_stock  \\\n",
       "2016-04-01  1.124410e+07        38.377888         2.319042         -1.520061   \n",
       "2016-04-02  1.010647e+07        38.329332         2.496361         -1.381793   \n",
       "2016-04-03  8.968833e+06        38.280776         2.673680         -1.243524   \n",
       "2016-04-04  7.831200e+06        38.232220         2.850999         -1.105256   \n",
       "2016-04-05  7.648400e+06        37.804943         1.692899         -0.511119   \n",
       "\n",
       "            Pct_change_stock_scaled      Favs       RTs     Followers  \\\n",
       "2016-04-01                -0.588352  1.000000  2.277778   3483.490566   \n",
       "2016-04-02                -0.509677  1.333333  1.666667   5238.117647   \n",
       "2016-04-03                -0.431001  1.500000  1.000000  13061.500000   \n",
       "2016-04-04                -0.352325  1.000000  1.000000   1619.800000   \n",
       "2016-04-05                -0.014256  1.000000  2.406089   2079.740741   \n",
       "\n",
       "              Following   Is a RT  compound       neg       neu       pos  \\\n",
       "2016-04-01   512.270833  0.188679  0.248249  0.051698  0.803811  0.144528   \n",
       "2016-04-02  2276.687500  0.058824  0.255753  0.050118  0.836235  0.113647   \n",
       "2016-04-03  1404.937500  0.062500  0.459862  0.007687  0.799313  0.193000   \n",
       "2016-04-04   592.046512  0.044444 -0.003424  0.081378  0.804844  0.113800   \n",
       "2016-04-05   100.038462  0.000000  0.232252  0.059926  0.783296  0.156778   \n",
       "\n",
       "            Compound_multiplied  Compound_multiplied_scaled  \\\n",
       "2016-04-01           799.881585                    0.032614   \n",
       "2016-04-02          2217.239547                    0.072977   \n",
       "2016-04-03          7057.999731                    0.210830   \n",
       "2016-04-04          -691.771638                   -0.009864   \n",
       "2016-04-05           136.017004                    0.013709   \n",
       "\n",
       "            Predicted_change_stock  Buy/Sell  \n",
       "2016-04-01               -1.381793      -1.0  \n",
       "2016-04-02               -1.243524      -1.0  \n",
       "2016-04-03               -1.105256      -1.0  \n",
       "2016-04-04               -0.511119      -1.0  \n",
       "2016-04-05               -0.435112      -1.0  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_full.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Volume_stock</th>\n",
       "      <th>Adj_Close_stock</th>\n",
       "      <th>HiLo_vola_stock</th>\n",
       "      <th>Pct_change_stock</th>\n",
       "      <th>Pct_change_stock_scaled</th>\n",
       "      <th>Favs</th>\n",
       "      <th>RTs</th>\n",
       "      <th>Followers</th>\n",
       "      <th>Following</th>\n",
       "      <th>Is a RT</th>\n",
       "      <th>compound</th>\n",
       "      <th>neg</th>\n",
       "      <th>neu</th>\n",
       "      <th>pos</th>\n",
       "      <th>Compound_multiplied</th>\n",
       "      <th>Compound_multiplied_scaled</th>\n",
       "      <th>Predicted_change_stock</th>\n",
       "      <th>Buy/Sell</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>7.500000e+01</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>74.000000</td>\n",
       "      <td>74.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>9.785516e+06</td>\n",
       "      <td>33.938007</td>\n",
       "      <td>2.916282</td>\n",
       "      <td>-0.501903</td>\n",
       "      <td>-0.009012</td>\n",
       "      <td>1.874387</td>\n",
       "      <td>2.406089</td>\n",
       "      <td>4262.763227</td>\n",
       "      <td>1061.288181</td>\n",
       "      <td>0.136964</td>\n",
       "      <td>0.213484</td>\n",
       "      <td>0.056700</td>\n",
       "      <td>0.796477</td>\n",
       "      <td>0.146825</td>\n",
       "      <td>350.732342</td>\n",
       "      <td>0.019824</td>\n",
       "      <td>-0.488144</td>\n",
       "      <td>-0.243243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.157759e+06</td>\n",
       "      <td>3.353530</td>\n",
       "      <td>1.081849</td>\n",
       "      <td>1.575422</td>\n",
       "      <td>0.896427</td>\n",
       "      <td>1.479771</td>\n",
       "      <td>1.807123</td>\n",
       "      <td>6218.179968</td>\n",
       "      <td>1176.784517</td>\n",
       "      <td>0.142211</td>\n",
       "      <td>0.137006</td>\n",
       "      <td>0.029326</td>\n",
       "      <td>0.036805</td>\n",
       "      <td>0.041124</td>\n",
       "      <td>3280.023130</td>\n",
       "      <td>0.093407</td>\n",
       "      <td>1.581633</td>\n",
       "      <td>0.976586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>5.018200e+06</td>\n",
       "      <td>29.567841</td>\n",
       "      <td>1.373308</td>\n",
       "      <td>-5.089362</td>\n",
       "      <td>-2.619312</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.154785</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.695500</td>\n",
       "      <td>0.063667</td>\n",
       "      <td>-24255.853656</td>\n",
       "      <td>-0.680912</td>\n",
       "      <td>-5.089362</td>\n",
       "      <td>-1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>7.359567e+06</td>\n",
       "      <td>31.083892</td>\n",
       "      <td>2.061459</td>\n",
       "      <td>-1.312659</td>\n",
       "      <td>-0.470339</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1442.301923</td>\n",
       "      <td>397.994906</td>\n",
       "      <td>0.034483</td>\n",
       "      <td>0.119104</td>\n",
       "      <td>0.038337</td>\n",
       "      <td>0.780361</td>\n",
       "      <td>0.125411</td>\n",
       "      <td>109.081598</td>\n",
       "      <td>0.012942</td>\n",
       "      <td>-1.211461</td>\n",
       "      <td>-1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>9.096200e+06</td>\n",
       "      <td>32.168182</td>\n",
       "      <td>2.781946</td>\n",
       "      <td>-0.435112</td>\n",
       "      <td>0.028992</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>2.333333</td>\n",
       "      <td>2611.916667</td>\n",
       "      <td>734.230769</td>\n",
       "      <td>0.102041</td>\n",
       "      <td>0.214486</td>\n",
       "      <td>0.058314</td>\n",
       "      <td>0.796750</td>\n",
       "      <td>0.137263</td>\n",
       "      <td>397.263475</td>\n",
       "      <td>0.021149</td>\n",
       "      <td>-0.418915</td>\n",
       "      <td>-1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.162440e+07</td>\n",
       "      <td>37.424595</td>\n",
       "      <td>3.622599</td>\n",
       "      <td>0.460723</td>\n",
       "      <td>0.538729</td>\n",
       "      <td>1.966667</td>\n",
       "      <td>2.641667</td>\n",
       "      <td>4674.610227</td>\n",
       "      <td>1411.933036</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.268787</td>\n",
       "      <td>0.074167</td>\n",
       "      <td>0.816603</td>\n",
       "      <td>0.161040</td>\n",
       "      <td>1093.043631</td>\n",
       "      <td>0.040963</td>\n",
       "      <td>0.482330</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2.093950e+07</td>\n",
       "      <td>40.145294</td>\n",
       "      <td>6.594999</td>\n",
       "      <td>3.565896</td>\n",
       "      <td>2.305596</td>\n",
       "      <td>10.666667</td>\n",
       "      <td>12.428571</td>\n",
       "      <td>37904.563380</td>\n",
       "      <td>8271.600000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.851300</td>\n",
       "      <td>0.144682</td>\n",
       "      <td>0.865750</td>\n",
       "      <td>0.304500</td>\n",
       "      <td>7057.999731</td>\n",
       "      <td>0.210830</td>\n",
       "      <td>3.565896</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Volume_stock  Adj_Close_stock  HiLo_vola_stock  Pct_change_stock  \\\n",
       "count  7.500000e+01        75.000000        75.000000         75.000000   \n",
       "mean   9.785516e+06        33.938007         2.916282         -0.501903   \n",
       "std    3.157759e+06         3.353530         1.081849          1.575422   \n",
       "min    5.018200e+06        29.567841         1.373308         -5.089362   \n",
       "25%    7.359567e+06        31.083892         2.061459         -1.312659   \n",
       "50%    9.096200e+06        32.168182         2.781946         -0.435112   \n",
       "75%    1.162440e+07        37.424595         3.622599          0.460723   \n",
       "max    2.093950e+07        40.145294         6.594999          3.565896   \n",
       "\n",
       "       Pct_change_stock_scaled       Favs        RTs     Followers  \\\n",
       "count                75.000000  75.000000  75.000000     75.000000   \n",
       "mean                 -0.009012   1.874387   2.406089   4262.763227   \n",
       "std                   0.896427   1.479771   1.807123   6218.179968   \n",
       "min                  -2.619312   1.000000   1.000000     28.000000   \n",
       "25%                  -0.470339   1.000000   1.000000   1442.301923   \n",
       "50%                   0.028992   1.500000   2.333333   2611.916667   \n",
       "75%                   0.538729   1.966667   2.641667   4674.610227   \n",
       "max                   2.305596  10.666667  12.428571  37904.563380   \n",
       "\n",
       "         Following    Is a RT   compound        neg        neu        pos  \\\n",
       "count    75.000000  75.000000  75.000000  75.000000  75.000000  75.000000   \n",
       "mean   1061.288181   0.136964   0.213484   0.056700   0.796477   0.146825   \n",
       "std    1176.784517   0.142211   0.137006   0.029326   0.036805   0.041124   \n",
       "min      11.000000   0.000000  -0.154785   0.000000   0.695500   0.063667   \n",
       "25%     397.994906   0.034483   0.119104   0.038337   0.780361   0.125411   \n",
       "50%     734.230769   0.102041   0.214486   0.058314   0.796750   0.137263   \n",
       "75%    1411.933036   0.200000   0.268787   0.074167   0.816603   0.161040   \n",
       "max    8271.600000   0.600000   0.851300   0.144682   0.865750   0.304500   \n",
       "\n",
       "       Compound_multiplied  Compound_multiplied_scaled  \\\n",
       "count            75.000000                   75.000000   \n",
       "mean            350.732342                    0.019824   \n",
       "std            3280.023130                    0.093407   \n",
       "min          -24255.853656                   -0.680912   \n",
       "25%             109.081598                    0.012942   \n",
       "50%             397.263475                    0.021149   \n",
       "75%            1093.043631                    0.040963   \n",
       "max            7057.999731                    0.210830   \n",
       "\n",
       "       Predicted_change_stock   Buy/Sell  \n",
       "count               74.000000  74.000000  \n",
       "mean                -0.488144  -0.243243  \n",
       "std                  1.581633   0.976586  \n",
       "min                 -5.089362  -1.000000  \n",
       "25%                 -1.211461  -1.000000  \n",
       "50%                 -0.418915  -1.000000  \n",
       "75%                  0.482330   1.000000  \n",
       "max                  3.565896   1.000000  "
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame.describe(df_full)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Last minute check for spotting possible outliers!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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1t98pAQAAIMMuJ35Kd/9+d9/W3bd295uS/Ng+HvfFVXXF6HLjB+7jdwAAAHCQGVJi766q\n06vq0Ko6pKpOT3L3PhzzTUkemuTEJLuTvGa5Datqe1Xtqqpdt9xyyz4cCgAA1t7cjvPv/QEma0iJ\n/bdJTkty0+jnOaN1g3T3Td19d3ffk+TNSbatsO3O7t7a3Vs3bdo09FAAAABsMKveE7tHd1+f5NT9\nPWBVbe7u3aPFZyVZakIoAAAA2MvYJbaqNiX56SRzC/fr7n+/wj5vS/KEJA+qqhuSvDLJE6rqxMzP\neHx9khfuQ24AAAAOQmOX2CTvSfI/k3w4Y94L293PW2L12QOOCQAAAPcaUmLv192vmFoSAAAAWMWQ\niZ3eX1VPm1oSAAAAWMWQEvvzmS+y/1RVt1bVbVV167SCAQAAwGJDZic+appBAAAAYDVDZid+3FLr\nu/vjk4sDAAAAyxsysdPLF7w/Msm2JJcmOWmiiQAAAGAZQy4nfvrC5ao6PsmrJp4IAAAAljFkYqfF\nbkjy3ZMKAgAAAKsZck/s65P0aPGQJCcmuXwaoQAAAGApQ+6J3bXg/V1J3tbd/2vCeQAAAGBZQ+6J\nPaeqjkjy8NGqa6YTCQAAAJY25HLiJyQ5J8n1SSrJ8VV1pkfsAAAAsFaGXE78miQ/0t3XJElVPTzJ\n25J8/zSCAQAAwGJDZic+fE+BTZLu/tskh08+EgAAACxt0MROVXV2kj8ZLZ+e5NLJRwIAAIClDSmx\n/zHJi5K8JPP3xH48ye9PIxQAAAAsZcjsxHdU1RuSXJTkniTXdPedU0sGAAATNrfj/HvfX3/WKWt+\nzIVWOv565IRZMWR24lOS/EGSz2f+TOwJVfXC7v7AtMIBAADAQkNnJ35id1+bJFX10CTnJ1FiAQAA\nWBNDZie+eU+BHbkuyc0r7VBVb6mqm6vqygXrjqmqC6vqc6PXBw7MDAAAwEFqSIm9qqouqKqfqqoz\nk7wvySVV9eyqevYy+/xxkpMXrduR5KLufljm76/dMTQ0AAAAB6chJfbIJDcleXySJyS5JckxSZ6e\n5EeX2qG7P57kHxatPjXJOaP35yR55oAMAAAAHMSGzE78/Akd89ju3j36zt1V9eDlNqyq7Um2J8mW\nLVsmdHgAAABm1ZDZiU9I8nNJ5hbu193PmHyse797Z5KdSbJ169ae1nEAAACYDUNmJ353krMzfy/s\nPftxzJuqavPoLOzmrDI5FAAAAOwxpMT+c3e/bgLHfG+SM5OcNXp9zwS+EwAAgIPAkBL7e1X1yiQf\nSnLHnpXd/anldqiqt2V+EqgHVdUNSV6Z+fL6jqp6QZIvJHnOPuQGAADgIDSkxH5PkjOSnJSvX07c\no+UldffzlvnoSQOOCwAAAEmGldhnJfm27r5zWmEAAABgJUOeE3t5kqOnFQQAAABWM+RM7LFJPltV\nl+Qb74md2iN2AAAAYKEhJfaVU0sBAAAAYxi7xHb3x6rq2CSPGq36ZHd7xisAAABrZux7YqvqtCSf\nzPwjcU5L8omq+vFpBQMAAIDFhlxO/KtJHrXn7GtVbUry4STvmkYwAAAAWGzI7MSHLLp8+O8H7g8A\nAAD7ZciZ2L+oqg8medto+SeSXDD5SAAAMMzcjvPvfX/9WacM3meSx9+XfcbNvJbftxZmMTPrb9US\nW1XfnuTY7n55VT07yQ8mqSR/leRPp5wPAAAA7jXO5cC/m+S2JOnuc7v7Zd39C5k/C/u70wwHAAAA\nC41TYue6+4rFK7t7V5K5iScCAACAZYxTYo9c4bP7TioIAAAArGacEntJVf304pVV9YIkl04+EgAA\nACxtnNmJX5rkvKo6PV8vrVuTHJHkWdMKBgAAAIutWmK7+6Ykj6mqJyb57tHq87v7I1NNBgAAAIuM\n/ZzY7r44ycVTzAIAAAArGueeWAAAADggjH0mdtKq6vrMP3/27iR3dffW9coCAADAbFi3EjvyxO7+\n8jpnAAAAYEa4nBgAAICZsZ4ltpN8qKourart65gDAACAGbGelxM/trtvrKoHJ7mwqj7b3R9fuMGo\n3G5Pki1btqxHRgAAAA4g63YmtrtvHL3enOS8JNuW2GZnd2/t7q2bNm1a64gAAAAcYNalxFbVN1XV\nUXveJ/mRJFeuRxYAAABmx3pdTnxskvOqak+G/9Hdf7FOWQAAAJgR61Jiu/u6JN+3HscGAABgdnnE\nDgAAADNDiQUAAGBmrOcjdjaUuR3nf8Py9Wedsk5JAODA5v8zD2wH2n+fhXnGzbIv+6y3xf/ex/1s\nnH0W/jsY97/v/v47PNDG0aTNyhiblZxDORMLAADAzFBiAQAAmBlKLAAAADNDiQUAAGBmKLEAAADM\nDCUWAACAmaHEAgAAMDOUWAAAAGaGEgsAAMDMUGIBAACYGUosAAAAM0OJBQAAYGYosQAAAMwMJRYA\nAICZocQCAAAwM5RYAAAAZsa6ldiqOrmqrqmqa6tqx3rlAAAAYHasS4mtqkOTvDHJU5M8IsnzquoR\n65EFAACA2bFeZ2K3Jbm2u6/r7juT/FmSU9cpCwAAADNivUrscUm+uGD5htE6AAAAWFZ199oftOo5\nSZ7S3f9htHxGkm3d/XOLttueZPto8TuSXLOmQZmGByX58nqHgAkzrtmIjGs2IuOajWgjjetv7e5N\nq2102FokWcINSY5fsPyQJDcu3qi7dybZuVahmL6q2tXdW9c7B0yScc1GZFyzERnXbEQH47her8uJ\nL0nysKo6oaqOSPLcJO9dpywAAADMiHU5E9vdd1XVi5N8MMmhSd7S3VetRxYAAABmx3pdTpzuviDJ\nBet1fNaNy8PZiIxrNiLjmo3IuGYjOujG9bpM7AQAAAD7Yr3uiQUAAIDBlFimqqqOqaoLq+pzo9cH\nLrPdlqr6UFVdXVWfqaq5tU0K4xt3XI+2fUBVfamq3rCWGWGoccZ1VZ1YVX9VVVdV1RVV9RPrkRVW\nU1UnV9U1VXVtVe1Y4vP7VNXbR59/wt87mAVjjOuXjf4efUVVXVRV37oeOdeCEsu07UhyUXc/LMlF\no+WlvDXJq7v7u5JsS3LzGuWDfTHuuE6S/5LkY2uSCvbPOOP6a0l+srv/dZKTk/xuVR29hhlhVVV1\naJI3JnlqkkckeV5VPWLRZi9I8pXu/vYkr03yW2ubEoYZc1z/TZKt3f29Sd6V5FVrm3LtKLFM26lJ\nzhm9PyfJMxdvMPof4GHdfWGSdPft3f21tYsIg606rpOkqr4/ybFJPrRGuWB/rDquu/tvu/tzo/c3\nZv4Xjqs+lB7W2LYk13b3dd19Z5I/y/z4XmjheH9XkidVVa1hRhhq1XHd3Rcv+Dv0Xyd5yBpnXDNK\nLNN2bHfvTpLR64OX2ObhSb5aVedW1d9U1atHv22CA9Wq47qqDknymiQvX+NssK/G+fP6XlW1LckR\nST6/BtlgiOOSfHHB8g2jdUtu0913Jfl/Sb55TdLBvhlnXC/0giQfmGqidbRuj9hh46iqDyf5liU+\n+tUxv+KwJD+U5JFJvpDk7Ul+KsnZk8gH+2IC4/pnk1zQ3V/0y30OFBMY13u+Z3OSP0lyZnffM4ls\nMEFL/aG7+HEc42wDB5Kxx2xV/bskW5M8fqqJ1pESy37r7icv91lV3VRVm7t79+gvPUvd63pDkr/p\n7utG+7w7yaOjxLKOJjCufyDJD1XVzya5f5Ijqur27l7p/lmYqgmM61TVA5Kcn+TXuvuvpxQV9scN\nSY5fsPyQJDcus80NVXVYkn+V5B/WJh7sk3HGdarqyZn/xeTju/uONcq25lxOzLS9N8mZo/dnJnnP\nEttckuSBVbXnvqqTknxmDbLBvlp1XHf36d29pbvnkvynJG9VYDnArTquq+qIJOdlfjy/cw2zwRCX\nJHlYVZ0wGrPPzfz4XmjheP/xJB/pbmdiOZCtOq6r6pFJ/jDJM7p7Q0+SqsQybWcl+eGq+lySHx4t\np6q2VtV/S5Luvjvzf8m/qKo+nfnLJd68TnlhHKuOa5hB44zr05I8LslPVdVlo58T1ycuLG10j+uL\nk3wwydVJ3tHdV1XVb1bVM0abnZ3km6vq2iQvy8qzzMO6G3NcvzrzV3+9c/Tn8+Jf3mwY5ZdOAAAA\nzApnYgEAAJgZSiwAAAAzQ4kFAABgZiixAAAAzAwlFgAAgJmhxAIAADAzlFgAAABmhhILAADAzPj/\nGpWev83CSo0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_size = plt.rcParams[\"figure.figsize\"]\n",
    "fig_size[0] =16.0\n",
    "fig_size[1] = 4.0\n",
    "\n",
    "x = df_full['Compound_multiplied_scaled']\n",
    "plt.hist(x, normed=True, bins=250)\n",
    "plt.ylabel('Compound_multiplied_scaled');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Save 'df_full' as excel file with the $cashtag as file name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "# import xlsxwriter\n",
    "# import os\n",
    "\n",
    "writer_df = pd.ExcelWriter('df_full.xlsx', engine='xlsxwriter')\n",
    "df_full.to_excel(writer_df)\n",
    "writer_df.save()\n",
    "\n",
    "os.rename('df_full.xlsx', '$AAL.xlsx') # UPDATE THE $CASHTAG BEFORE RUNNING THE CELL!!!!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": []
  },
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": []
  }
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