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
- Downloads last month
- 7
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
๐
Ask for provider support