rakun2 and rakun
RaKUn 2.0 is an improved successor version of the original RaKUn algorithm, offering faster performance while maintaining the same rank-based, unsupervised keyword extraction approach.
About rakun2
SkBlaz/rakun2
RaKUn 2.0 - A fast keyword detection algorithm
This tool helps researchers, content creators, and data analysts quickly identify the most important topics and concepts within large amounts of text. You provide documents, articles, or other textual data, and it outputs a list of relevant keyphrases. Anyone who needs to understand the core themes of many documents without reading them all would find this useful.
About rakun
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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