Sentiment Analysis using Twitter API and NLP

This project performs sentiment analysis on tweets using Twitter’s API and Natural Language Processing (NLP) techniques. The system collects data from Twitter based on specified keywords or hashtags and then processes the text data using NLP methods like tokenization, stemming, and sentiment classification. The system categorizes the sentiment into positive, negative, or neutral and displays the results through visualizations like pie charts or bar graphs.