SkBlaz/rakun
Rank-based Unsupervised Keyword Extraction via Metavertex Aggregation
RaKUn helps analysts quickly identify the most important topics and terms within lengthy texts. You feed it a document, and it provides a list of key phrases along with a numerical score indicating their relevance. This is useful for researchers, content strategists, or anyone needing to distill essential information from large volumes of text.
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Use this if you need a fast method to extract keywords and understand the main subjects of a document without extensive manual reading or training complex models.
Not ideal if you require the absolute highest accuracy for keyword extraction, as supervised methods generally outperform RaKUn.
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99
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24
Language
C
License
GPL-3.0
Category
Last pushed
Nov 19, 2024
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