Title :
Turkish keyphrase extraction using multi-criterion ranking
Author :
Özdemir, Bahadir ; Cicekli, Ilyas
Author_Institution :
Dept. of Comput. Eng., Bilkent Univ., Ankara, Turkey
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;
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
DOI :
10.1109/ISCIS.2009.5291825
