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: Negative1: Positive
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Evaluation results
- Accuracy on IMDb Movie Reviewsself-reported0.720