See Live @TwitterVibeCheck.com 
credits to djoksimo for teaching me how to use Flask
- This project was created so anyone can easily research real time Twitter discourse
- Twitter is a valuable source of information regarding emotion and opinions.
- Given that Twitter has millions of users of all backgrounds, it is the perfect resource for real-time global sentiment analysis.
- This project uses the Sentiment Intensity Analyser module from the VADER Sentiment Python library to analyze text.
- VADER (Valence Aware Dictionary and sentiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media.
- The Twitter API has major limits on the amount of requests and Tweets that can be pulled which prevents more in-depth analysis
- I am currently trying to eliminate the need for the official API by using the unofficial SNSCRAPE social media scraper which may open the door for unrestricted Tweet retrieval
- How to simplify usage for new users
- Fork the repo and make a pull request
MIT License Copyright (c) Waleed Rizwan 2021