JavaScript port of VADER sentiment analysis tool
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Updated
Mar 19, 2020 - JavaScript
JavaScript port of VADER sentiment analysis tool
Fully autonomous and intelligent platform to detect, monitor and manage potholes issues. An end-to-end system with a PWA front-end for users to report potholes and government authorities to track and manage them.
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.
An end to end app to predict what issue customers have being faced with by analyzing customer complaints.
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Materials for Sentiment Analysis with Python in "Taller en Data Science" by UCOM
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Due to the size restriction the dataset file is unable to upload but you can simply download from kaggle.
Twitter Sentiment Analysis Using Vader Lexicon and Random Forest Classifier
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.
Updated replacement for vader-sentiment (vaderSentiment-js) that runs original vaderSentiment natively, using CPython.
This Project is part of my MSc. In Digital Marketing and Data Science Thesis at emlyon business school
Implementation of sentiment analysis on a dataset using the TextBlob and vaderSentiment libraries.
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anime quotes classification and sentiment analysis
Sentiment calculation assignment - on python runs on serverless
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