Built a machine learning web

Built a machine learning web application for classifying text into three sentiment categories: positive, neutral, and negative. The project covers text preprocessing, feature extraction, model training, evaluation, and interactive prediction through a Streamlit interface. Developed with Python, Pandas, Scikit-learn, and Streamlit, with the trained model integrated for real-time sentiment prediction.