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https://github.com/narius2030/vietnamese-text-classification-and-clustering
This project build a classification model for topics of news. With the target is automatically recognize suitable topic (class) to a random article. There are two architectures implemented which are LSTM and Hybrid models
https://github.com/narius2030/vietnamese-text-classification-and-clustering
apache-airflow data-pipeline nlp-deep-learning tensorflow text-classification text-clustering word-embedding
Last synced: 19 days ago
JSON representation
This project build a classification model for topics of news. With the target is automatically recognize suitable topic (class) to a random article. There are two architectures implemented which are LSTM and Hybrid models
- Host: GitHub
- URL: https://github.com/narius2030/vietnamese-text-classification-and-clustering
- Owner: Narius2030
- Created: 2024-05-16T03:56:55.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-06-04T05:24:12.000Z (7 months ago)
- Last Synced: 2024-06-04T19:27:50.759Z (7 months ago)
- Topics: apache-airflow, data-pipeline, nlp-deep-learning, tensorflow, text-classification, text-clustering, word-embedding
- Language: Jupyter Notebook
- Homepage:
- Size: 264 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md