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.
Repositorio del proyecto de la materia de Análisis exploratorio de datos
Materials for Sentiment Analysis with Python in "Taller en Data Science" by UCOM
Learning streamlit as a dashboard and viz tool for data science projects
A simple web app that determines whether a piece of code is positive,neutral or negative in mood using python
Simple webapp that analyzes the sentiment of text files in a diary folder and visualizes the positivity and negativity trends over time.
Twitter Sentiment Analysis Using Vader Lexicon and Random Forest Classifier
Due to the size restriction the dataset file is unable to upload but you can simply download from kaggle.
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.
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.
Social Media Sentiment Analysis
This is a collection of Jupyter notebooks that use popular sentiment analysis Python libraries to analyze text.
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