w4096/text-classification

Text Classification Models - CNN, RCNN, RNN-ATTN [PyTorch]

21
/ 100
Experimental

This tool helps you automatically sort Chinese text documents into predefined categories such as 'Sports', 'Finance', or 'Technology'. You provide a collection of text documents, each with a corresponding category, and the tool learns to classify new, unlabeled documents. This is useful for content managers, data analysts, or anyone needing to organize large volumes of text content efficiently.

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Use this if you need to automatically categorize large volumes of Chinese text into existing subject areas and are looking for robust classification models.

Not ideal if your primary goal is the fastest possible classification for long texts, as simpler models might offer similar accuracy with less computational cost.

document-categorization content-management information-organization chinese-text-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 0 / 25

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11

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Language

Python

License

MIT

Last pushed

Oct 13, 2020

Commits (30d)

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