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🎬 Sentiment Analysis of IMDB Movie Reviews

πŸ“Œ Overview

This project performs sentiment classification on IMDB movie reviews using Natural Language Processing (NLP) and Deep Learning (LSTM in TensorFlow).

It detects whether a movie review is Positive, Negative, or Neutral based on its text.


🧠 Tech Stack

  • Python
  • TensorFlow / Keras
  • Natural Language Processing (NLP)
  • Deep Learning (LSTM)
  • Jupyter Notebook

βš™οΈ Features

  • Performed sentiment classification on IMDB reviews using NLP and deep learning to detect positive, negative, or neutral sentiments.
  • Implemented preprocessing (tokenization, stemming, stop-word removal) and trained LSTM-based models for high accuracy.
  • Deployed model for real-time sentiment prediction and feedback visualization.

πŸš€ How to Run the Project

  1. Install required libraries:
    pip install -r requirements.txt

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Sentiment Analysis on IMDB Movie Reviews using NLP and Deep Learning (LSTM Model with TensorFlow & Keras)

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