DocumentCode
1966012
Title
Turkish keyphrase extraction using multi-criterion ranking
Author
Özdemir, Bahadir ; Cicekli, Ilyas
Author_Institution
Dept. of Comput. Eng., Bilkent Univ., Ankara, Turkey
fYear
2009
fDate
14-16 Sept. 2009
Firstpage
269
Lastpage
273
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.
Keywords
document handling; information retrieval; Turkish keyphrase extraction; information retrieval systems; multicriterion ranking; semantic document content; Data engineering; Data mining; Feature extraction; Frequency; Indexing; Information retrieval; Internet; Libraries; Spatial databases; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Sciences, 2009. ISCIS 2009. 24th International Symposium on
Conference_Location
Guzelyurt
Print_ISBN
978-1-4244-5021-3
Electronic_ISBN
978-1-4244-5023-7
Type
conf
DOI
10.1109/ISCIS.2009.5291825
Filename
5291825
Link To Document