IMDb Movie Review Sentiment Analysis using LSTM

This model performs binary sentiment classification (positive/negative) on IMDb movie reviews using an LSTM-based neural network built with TensorFlow.

Model Details

  • Architecture: LSTM
  • Framework: TensorFlow/Keras
  • Dataset: IMDb Movie Reviews (50k)
  • Tokenizer: TensorFlow Tokenizer
  • Accuracy: 72%

Sentiment Labels

  • 0: Negative
  • 1: Positive
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Evaluation results