Neuw84/CValue-TermExtraction

A free implementation of the C-Value algorithm

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Emerging

This tool helps researchers, analysts, or anyone working with large volumes of text quickly identify the most important multi-word terms and key phrases within their documents. It takes raw text in English or Spanish as input and outputs a ranked list of relevant key phrases, helping you understand the core topics without extensive manual reading. It's particularly useful for those who need to summarize or extract critical concepts from scientific papers, reports, or other complex textual data.

No commits in the last 6 months.

Use this if you need to automatically extract significant multi-word terms from text documents in English or Spanish to get a quick overview of their content.

Not ideal if you need a solution that requires no programming or integration with other text analysis tools, as this implementation requires a separate Part-of-Speech tagger and some coding to set up.

text-analysis information-extraction document-summarization research-analysis knowledge-management
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 8 / 25

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Stars

9

Forks

1

Language

Java

License

BSD-3-Clause

Last pushed

Sep 11, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Neuw84/CValue-TermExtraction"

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