Sentiment Analysis with BERT + Focal Loss
Key Features
- ✅ Fine-tuned BERT (bert-base-uncased) on custom or public sentiment datasets
- ✅ Custom classification head for binary or multi-class sentiment prediction
- ✅ Focal Loss implemented to handle class imbalance
- ✅ Hyperparameter tuning: learning rate, epochs, batch size, etc.
- ✅ Early stopping & gradient clipping for stable training
- ✅ GPU acceleration support
FlaskPytorchScikit learnNLPTransformer