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πŸ“ Sentiment Analysis Web App (SVM + Streamlit)

A web app that predicts whether a text review or comment is Positive 😊 or Negative 😑 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.


🧰 Features

  • 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.

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