https://github.com/sayamalt/news-category-classification
Successfully developed a news category classification model using fine-tuned BERT which can accurately classify any news text into its respective category i.e. Politics, Business, Technology and Entertainment.
https://github.com/sayamalt/news-category-classification
bert-embeddings exploratory-data-analysis feature-engineering fine-tuning-bert model-evaluation nlp text-classification text-cleaning text-preprocessing text-tokenization
Last synced: 3 months ago
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Successfully developed a news category classification model using fine-tuned BERT which can accurately classify any news text into its respective category i.e. Politics, Business, Technology and Entertainment.
- Host: GitHub
- URL: https://github.com/sayamalt/news-category-classification
- Owner: SayamAlt
- Created: 2023-01-17T08:53:58.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-01-17T08:55:17.000Z (over 2 years ago)
- Last Synced: 2024-12-28T08:09:53.632Z (5 months ago)
- Topics: bert-embeddings, exploratory-data-analysis, feature-engineering, fine-tuning-bert, model-evaluation, nlp, text-classification, text-cleaning, text-preprocessing, text-tokenization
- Language: Jupyter Notebook
- Homepage:
- Size: 3.69 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Changelog: News Category Classification using fine-tuned BERT.ipynb