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Author identification for Turkish texts

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dc.contributor.author Taş, Tufan
dc.contributor.author Görür, Abdül Kadir
dc.date.accessioned 2016-02-15T11:56:16Z
dc.date.available 2016-02-15T11:56:16Z
dc.date.issued 2007-05
dc.identifier.citation TAŞ, T., GÖRÜR, A.K., (2007). Author Identification for Turkish Texts. Çankaya Üniversitesi Fen-Edebiyat Fakültesi, Journal of Arts and Sciences Sayı: 7, pp.151-161 tr_TR
dc.identifier.issn 1309-6788
dc.identifier.uri http://hdl.handle.net/20.500.12416/752
dc.description.abstract The main concern of author identification is to define an appropriate characterization of documents that captures the writing style of authors. The most important approaches to computer-based author identification are exclusively based on lexical measures. In this paper we presented a fully automated approach to the identification of the authorship of unrestricted text by adapting a set of style markers to the analysis of the text. In this study, 35 style markers were applied to each author. By using our method, the author of a text can be identified by using the style markers that characterize a group of authors. The author group consists of 20 different writers. Author features including style markers were derived together with different machine learning algorithms. By using our method we have obtained a success rate of 80% in avarege tr_TR
dc.language.iso eng tr_TR
dc.publisher Çankaya Üniversitesi tr_TR
dc.rights info:eu-repo/semantics/openAccess
dc.title Author identification for Turkish texts tr_TR
dc.type article tr_TR
dc.relation.journal Çankaya Üniversitesi Fen Edebiyat Fakültesi Journal of Arts and Sciences tr_TR
dc.identifier.issue 7 tr_TR
dc.identifier.startpage 151 tr_TR
dc.identifier.endpage 161 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen Edebiyat Fakültesi, Bilgisayar Mühendisliği Bölümü tr_TR


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