Sentiment Analysis on Social Media Data

A sentiment analysis tool that classifies tweets into positive, negative, or neutral categories. The project involved natural language processing (NLP), text preprocessing, vectorization (TF-IDF), and model training using Logistic Regression and SVM. The model achieved 90% accuracy, enabling real-time insights into customer opinions and brand reputation.