Sentiment Analysis of tweets about car manufacturers. Complete Docker Pipeline with ETL job that is managed through Airflow.
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Updated
Aug 16, 2020 - Python
Sentiment Analysis of tweets about car manufacturers. Complete Docker Pipeline with ETL job that is managed through Airflow.
This Python code retrieves thousands of tweets, classifies them using TextBlob and VADER in tandem, summarizes each classification using LexRank, Luhn, LSA, and LSA with stopwords, and then ranks stopwords-scrubbed keywords per classification.
Learning streamlit as a dashboard and viz tool for data science projects
Sentiment Analysis and Word Count of Feedbacks using Apache Spark
Simple webapp that analyzes the sentiment of text files in a diary folder and visualizes the positivity and negativity trends over time.
Flask backend for the winning app at the Exun 2022 Hackathon finals. Implements utility ML functions as an API for the mobile app.
Materials for Sentiment Analysis with Python in "Taller en Data Science" by UCOM
Implementation of sentiment analysis on a dataset using the TextBlob and vaderSentiment libraries.
Sentiment calculation assignment - on python runs on serverless
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