https://github.com/shallowmanica/text-emotion-classification-nlp
A comprehensive project that implements and compares four neural network architectures—CNN, LSTM, BiGRU, and BERT—for multi-class emotion classification on text data labeled with six emotions. The dataset is sourced from Kaggle Emotion dataset.
https://github.com/shallowmanica/text-emotion-classification-nlp
bert bigru cnn emotion-analysis evaluation-metrics lstm nerual-network nlp optimization python text-classification
Last synced: about 2 months ago
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A comprehensive project that implements and compares four neural network architectures—CNN, LSTM, BiGRU, and BERT—for multi-class emotion classification on text data labeled with six emotions. The dataset is sourced from Kaggle Emotion dataset.
- Host: GitHub
- URL: https://github.com/shallowmanica/text-emotion-classification-nlp
- Owner: shallowManica
- License: mit
- Created: 2025-03-30T02:12:26.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2025-03-30T02:37:18.000Z (2 months ago)
- Last Synced: 2025-03-30T03:21:39.140Z (2 months ago)
- Topics: bert, bigru, cnn, emotion-analysis, evaluation-metrics, lstm, nerual-network, nlp, optimization, python, text-classification
- Language: Jupyter Notebook
- Homepage:
- Size: 1.28 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0