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🎬 Sentiment Analysis of IMDB Movie Reviews

📌 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

⚙️ 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.

🚀 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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