Turkish keyphrase extraction using multi-criterion ranking
Author
Özdemir, Bahadır
Çiçekli, İlyas
Date
2009-09Source Title
24th International Symposium on Computer and Information Sciences, ISCIS 2009
Publisher
IEEE
Pages
269 - 273
Language
English
Type
Conference PaperItem Usage Stats
150
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122
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Abstract
Keyphrases 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.
Keywords
Keyphrase extractionMulti-criterion ranking
Optimal sets
Semantic content
Turkishs
Information retrieval
Information retrieval systems
Information services
Feature extraction