JacksonCakes/chinese_keybert

A minimal chinese keywords extraction with BERT

43
/ 100
Emerging

This tool helps you quickly understand the core topics of Chinese text documents by extracting the most important keywords. You provide it with Chinese text, and it returns a list of highly relevant keywords. It's ideal for anyone who needs to quickly grasp the essence of Chinese articles, reports, or research papers without reading them in full.

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

Use this if you need to quickly identify the main themes and topics from Chinese-language content, like news articles, academic papers, or business reports.

Not ideal if you need to extract keywords from languages other than Chinese, or if you require highly specific or customized keyword weighting for very niche terminology.

chinese-text-analysis information-extraction content-summarization market-research-china document-tagging
Stale 6m
Maintenance 0 / 25
Adoption 5 / 25
Maturity 25 / 25
Community 13 / 25

How are scores calculated?

Stars

10

Forks

2

Language

Python

License

MIT

Last pushed

Nov 01, 2022

Commits (30d)

0

Dependencies

3

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/JacksonCakes/chinese_keybert"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.