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.

rakun2
47
Emerging
rakun
45
Emerging
Maintenance 2/25
Adoption 9/25
Maturity 25/25
Community 11/25
Maintenance 0/25
Adoption 9/25
Maturity 16/25
Community 20/25
Stars: 72
Forks: 7
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 99
Forks: 24
Downloads:
Commits (30d): 0
Language: C
License: GPL-3.0
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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.

content-analysis information-retrieval document-indexing text-mining research-analysis

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.

text-analysis content-summarization document-indexing information-retrieval academic-research

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