Concept information
Preferred term
KEA
Definition
- An algorithm for extracting keyphrases from text documents. It can be either used for free indexing or for indexing with a controlled vocabulary. (Loterre)
Broader concept
Example
- In our experiments KEA was restricted to output no more than 15 keyphrases per document. (Chachra, Ben Abacha, Shooshan, Rodriguez & Demner-Fushman, 2016)
- Medelyan and Witten extended the KEA to KEA++ which uses semantic information on terms and phrases extracted from a domain specific thesaurus thus enhances automatic keyphrase extraction (Medelyan and Witten 2006). (Zhang, Wang, Gong & Huang, 2016)
- We should note that KEA is primarily designed for keyphrase extraction from scientific publications and whereas the position of the first occurrence might be indicative in research papers product reviews usually do not contain a summarizing "abstract" at the beginning. (Berend, Nagy, Móra & Vincze, 2011)
In other languages
-
French
URI
http://data.loterre.fr/ark:/67375/8LP-GVH06WD1-5
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