stevewyl/nlp_toolkit

Basic NLP Toolkits include text classification, sequence labeling etc.

42
/ 100
Emerging

This toolkit helps you automatically categorize Chinese text or extract specific information (like names or locations) from it. You provide raw Chinese text data labeled with categories or specific parts you want to extract, and it generates a model that can process new, unlabeled text. This is for data analysts, researchers, or anyone working with large volumes of Chinese text who needs to quickly sort content or identify key entities.

No commits in the last 6 months. Available on PyPI.

Use this if you need to build custom models for classifying Chinese text into categories (like positive/negative sentiment) or labeling sequences of text to extract entities (like product names or dates).

Not ideal if your task requires multi-label text classification or if you need to process languages other than Chinese without custom modifications.

Chinese-text-analysis text-categorization information-extraction data-labeling sentiment-analysis
Stale 6m No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 25 / 25
Community 10 / 25

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Stars

39

Forks

4

Language

Python

License

MIT

Last pushed

Aug 02, 2024

Commits (30d)

0

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