https://github.com/sayamalt/emotion-detection-using-fine-tuned-bert-transformer
Successfully developed a fine-tuned BERT transformer model which can effectively perform emotion classification on any given piece of texts to identify a suitable human emotion based on semantic meaning of the text.
https://github.com/sayamalt/emotion-detection-using-fine-tuned-bert-transformer
bert-transformer emotion-classification feature-engineering fine-tuning-bert natural-language-processing natural-language-understanding text-preprocessing
Last synced: 5 months ago
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Successfully developed a fine-tuned BERT transformer model which can effectively perform emotion classification on any given piece of texts to identify a suitable human emotion based on semantic meaning of the text.
- Host: GitHub
- URL: https://github.com/sayamalt/emotion-detection-using-fine-tuned-bert-transformer
- Owner: SayamAlt
- Created: 2022-12-13T18:43:21.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-12-13T18:46:51.000Z (over 2 years ago)
- Last Synced: 2024-11-07T12:48:09.525Z (7 months ago)
- Topics: bert-transformer, emotion-classification, feature-engineering, fine-tuning-bert, natural-language-processing, natural-language-understanding, text-preprocessing
- Language: Jupyter Notebook
- Homepage:
- Size: 971 KB
- Stars: 4
- Watchers: 2
- Forks: 1
- Open Issues: 0
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Metadata Files: