BiLSTM Sentiment Analysis with Attention

This model was developed as part of my M.Tech research at NIT Kurukshetra. It uses a Bidirectional LSTM architecture with a custom Attention mechanism to classify sentiment in text (IMDB dataset).

Model Performance

  • Accuracy: 89.40%
  • Architecture: BiLSTM + Attention Layer + Dense Output
  • Framework: PyTorch

How to use

# I will provide the loading code once you define your class structure!
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