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Movie Review Sentiment Analyzer

Role: AI & Data Science Engineer

Project Description

A web application that uses deep learning and natural language processing to classify movie reviews as positive or negative sentiment with a confidence score. This project demonstrates the full pipeline from model training to deployment with a user friendly Flask web interface.

▶ Watch Demo on YouTube

View on GitHub

Key Features

  • 🔍 Sentiment classification of movie reviews into Positive or Negative
  • 📊 Confidence score indicating the prediction certainty
  • 🖥️ Responsive and clean web UI with real time prediction
  • 📚 Trained on IMDb dataset with 15,000 vocabulary size and 100 dimensional GloVe embeddings
  • 🐳 Dockerfile included for containerized deployment

Technologies Used

  • Python
  • TensorFlow
  • Keras
  • Flask
  • NumPy
  • Docker
  • Git
  • Github