/Sentiment_Analysis_Using_RNN

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🎬 IMDb Movie Review Sentiment Analysis

This project classifies IMDb movie reviews as positive or negative using a Recurrent Neural Network (RNN). Check out the live demo here.

📝 Project Overview

Sentiment analysis is the task of determining the sentiment or emotion expressed in a piece of text. In this project, we use an RNN to classify IMDb movie reviews into positive or negative sentiments.

📊 Dataset

The dataset consists of 50,000 IMDb movie reviews, split equally into 25,000 reviews for training and 25,000 reviews for testing.

🏗️ Model Architecture

  • Embedding Layer: Converts input words into dense vectors.
  • LSTM Layer: Captures long-term dependencies in the text.
  • Dense Layer: Outputs the final classification.

📦 Requirements

  • Python
  • TensorFlow==2.15.0
  • Keras
  • NumPy
  • Pandas
  • NLTK
  • Scikit-learn