https://github.com/davidsbatista/text-classification

An example on how to train supervised classifiers for multi-label text classification using sklearn pipelines
https://github.com/davidsbatista/text-classification

multi-label-classification text-classification train-supervised-classifiers

Last synced: 5 months ago
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An example on how to train supervised classifiers for multi-label text classification using sklearn pipelines

• Host: GitHub
• URL: https://github.com/davidsbatista/text-classification
• Owner: davidsbatista
• Created: 2017-04-11T21:12:27.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2018-05-24T08:42:30.000Z (about 8 years ago)
• Last Synced: 2024-04-18T02:56:51.706Z (about 2 years ago)
• Topics: multi-label-classification, text-classification, train-supervised-classifiers
• Language: Jupyter Notebook
• Homepage: http://www.davidsbatista.net/blog/2017/04/01/document_classification/
• Size: 39.2 MB
• Stars: 110
• Watchers: 9
• Forks: 52
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# text-classification

An example of how to train supervised classifiers for multi-label text classification

code for blog post: 

* http://www.davidsbatista.net/blog/2017/04/01/document_classification