Turkish keyphrase extraction using KEA

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dc.citation.epage197
dc.citation.spage193
dc.contributor.authorPala, Nagehanen_US
dc.contributor.authorÇiçekli, İlyasen_US
dc.coverage.spatialAnkara, Turkey
dc.date.accessioned2016-02-08T11:40:18Z
dc.date.available2016-02-08T11:40:18Z
dc.date.issued2007-11
dc.departmentDepartment of Computer Engineering
dc.descriptionDate of Conference: 7-9 Nov. 2007
dc.descriptionConference name: 22nd international symposium on computer and information sciences, 2007
dc.description.abstractKeyphrases provide semantic metadata to summarize and characterize documents. Unfortunately, there are many digital documents especially on the Internet that do not have a list of assigned keyphrases. Assigning keyphrases to these documents manually is a tedious process and requires knowledge of the subject. Automatic Keyphrase Extraction solves this problem. In this paper, we present implementation of Keyphrase Extraction Algorithm (KEA) for Turkish as well as extending it with new features to improve its performance. ©2007 IEEE.
dc.identifier.doi10.1109/ISCIS.2007.4456860
dc.identifier.urihttp://hdl.handle.net/11693/26948
dc.language.isoEnglish
dc.publisherIEEE
dc.relation.isversionofhttp://dx.doi.org/10.1109/ISCIS.2007.4456860
dc.source.title22nd International Symposium on Computer and Information Sciences, ISCIS 2007 - Proceedings
dc.subjectCommunication
dc.subjectCybernetics
dc.subjectInformation management
dc.subjectInformation science
dc.subjectInformation theory
dc.subjectMetadata
dc.subjectDigital Documents
dc.subjectInternational symposium
dc.subjectKeyphrase extraction
dc.subjectSemantic metadata
dc.subjectTurkish
dc.subjectFeature extraction
dc.titleTurkish keyphrase extraction using KEA
dc.typeConference Paper

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