Models implemented:
- TF-IDF + Logistic Regression
- LSTM (from scratch)
- DistilBERT (fine-tuned)
Best Accuracy:
- DistilBERT: 92.55%
Deployment:
- Streamlit web app for real-time emotion detection
Confusion Matrix:
GreatEpee/emotion-detection-NLP
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