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Turkish keyphrase extraction using KEA

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.issued2007-11en_US
dc.identifier.urihttp://hdl.handle.net/11693/26948
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.en_US
dc.language.isoEnglishen_US
dc.source.title22nd International Symposium on Computer and Information Sciences, ISCIS 2007 - Proceedingsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ISCIS.2007.4456860en_US
dc.subjectCommunicationen_US
dc.subjectCyberneticsen_US
dc.subjectInformation managementen_US
dc.subjectInformation scienceen_US
dc.subjectInformation theoryen_US
dc.subjectMetadataen_US
dc.subjectDigital Documentsen_US
dc.subjectInternational symposiumen_US
dc.subjectKeyphrase extractionen_US
dc.subjectSemantic metadataen_US
dc.subjectTurkishen_US
dc.subjectFeature extractionen_US
dc.titleTurkish keyphrase extraction using KEAen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Computer Engineeringen_US
dc.citation.spage193en_US
dc.citation.epage197en_US
dc.identifier.doi10.1109/ISCIS.2007.4456860en_US
dc.publisherIEEE


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