Real-Time Sentiment Analysis of Twitter Data

This project builds a real-time sentiment analysis tool that analyzes tweets as they are posted. Using Twitter’s streaming API, the system collects live data and processes the text using NLP techniques to classify sentiment. The sentiment analysis results are visualized on a real-time dashboard, which shows sentiment trends based on hashtags or keywords. This project is useful for tracking public opinion on various topics.