Yet Another Keyword Extractor (YAKE!)

Year: 2,020
Authors: Ricardo Campos, Vítor Mangaravite, Arian Pasquali, Alípio Jorge, Célia Nunes, Adam Jatowt
Journal: Information Sciences
Languages: Language independent
Programming languages: Python
Input data:

Plain text

Output data:

List of Keywords with corresponding relevance scores


Keyword extraction, Unsupervised, Corpus-independent, Light-weight, Language-independent

YAKE! is a light-weight unsupervised automatic keyword extraction method which rests on text statistical features extracted from single documents to select the most important keywords of a text. The system does not need to be trained on a particular set of documents, neither it depends on dictionaries, external-corpus, size of the text, language or domain. It outperforms state-of-the-art methods under a number of collections of different sizes, languages or domains.

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