Özdemir, BahadırÇiçekli, İlyas2016-02-082016-02-082009-09http://hdl.handle.net/11693/28670Date of Conference: 14-16 Sept. 2009Conference name: 24th International Symposium on Computer and Information Sciences, ISCIS 2009Keyphrases have been extensively used for indexing and searching in databases and information retrieval systems. In addition, they provide useful information about semantic content of a document. In this paper, we propose an algorithm for automating Turkish keyphrase extraction. Several features of candidate phrases are exploited and form the extraction task as a problem of finding optimal set of candidate phrases. We use multi-criterion ranking to tackle this problem. © 2009 IEEE.EnglishKeyphrase extractionMulti-criterion rankingOptimal setsSemantic contentTurkishsInformation retrievalInformation retrieval systemsInformation servicesFeature extractionConference Paper10.1109/ISCIS.2009.5291825