Sentiment Analysis for Sports Events using Twitter Data

This project performs sentiment analysis on tweets related to sports events such as football matches, basketball games, or Olympics. Using Twitter API, the system collects tweets during the event and applies NLP techniques to analyze fan sentiment in real-time. The sentiment results are visualized and provide insights into how fans feel about the teams or players during or after the event.