A web app that predicts whether a text review or comment is Positive π or Negative π‘ using Support Vector Machines (SVM).
Built with Python, scikit-learn, and Streamlit, this app demonstrates end-to-end machine learning workflow from data preprocessing to deployment.
- Predicts sentiment of user input text in real-time.
- Uses SVM (LinearSVC) for classification.
- Text preprocessing with TF-IDF vectorization.
- Clean and interactive Streamlit interface.
- Fully deployable via GitHub + Streamlit Cloud.