vgrabovets/multi_rake

Multilingual Rapid Automatic Keyword Extraction (RAKE) for Python

53
/ 100
Established

This tool helps content creators, researchers, and analysts quickly identify the main topics and key phrases within any written text. You provide text in any language, and it outputs a list of relevant keywords, even without knowing the language beforehand. This is ideal for anyone needing to distill large amounts of text into its core concepts.

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

Use this if you need to extract important keywords from documents, articles, or other text, especially if you work with multiple languages or don't want to manually create lists of common words to ignore.

Not ideal if you require highly nuanced or domain-specific keyword extraction that relies on deep semantic understanding or very specific linguistic rules beyond general phrase identification.

content-analysis text-summarization information-retrieval multilingual-data document-tagging
Stale 6m
Maintenance 0 / 25
Adoption 10 / 25
Maturity 25 / 25
Community 18 / 25

How are scores calculated?

Stars

272

Forks

37

Language

Python

License

MIT

Last pushed

Jul 20, 2023

Commits (30d)

0

Dependencies

4

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