Real-time sentiment analysis in Python using twitter's streaming api

This Chrome extension allows users to analyze and perform sentiment analysis of their Twitter posts. It provides sentiment labels of the user's tweets, which can be used to assess their mental health.

A BERT based Twitter Sentiment Analysis in pytorch

TweetFeel is a Flask web app that performs real-time sentiment analysis on tweets scraped via twscrape. It features user authentication, an SQL database for storing tweets, and data visualizations through PyChart, including histograms and line graphs.

Oldie "TweetFeels" done at school

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This program will pull tweets from the Twitter API for a given hashtag and then analyze the data to determine the overall emotional sentiment.

TweetFeels allows users to input a word, name, or short phrase and see the item's current general sentiment.

A project made with Django that uses Twitter API to make semantic analysis of tweets

TweetFeels is a powerful sentiment analysis tool designed specifically for analyzing tweets and extracting valuable insights regarding the sentiment expressed in them.

TweetFeels is a modular machine learning project that performs sentiment and emotion analysis on tweets scraped from X (Twitter). It uniquely predicts emotion type along with confidence percentages, making results more interpretable and insightful.