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Authorship Modelling Approach for Authorship Verification on the Turkish Texts

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dc.contributor.author Canbay, Pelin
dc.contributor.author Akçapınar Sezer, Ebru
dc.contributor.author Sever, Hayri
dc.date.accessioned 2022-03-22T12:13:22Z
dc.date.available 2022-03-22T12:13:22Z
dc.date.issued 2018
dc.identifier.citation Canbay, Pelin; Akçapınar Sezer, Ebru; Sever, Hayri (2018). "Authorship Modelling Approach for Authorship Verification on the Turkish Texts", 26th IEEE Signal Processing and Communications Applications Conference (SIU). tr_TR
dc.identifier.uri http://hdl.handle.net/20.500.12416/5172
dc.description.abstract Authorship attribution which aims to extract information about an author by analyzing the text of the author is a challenging field that has been studied for years. This study becomes even more difficult when there is limited data on this field. The need for this study carried out under the name of Authorship Verification is increasing day by day with the increase of anonymous authors in the electronic environments. In this study, a model-based solution approach is presented for the authorship verification problem. With the presented approach, it was determined what should be the success interval to be considered in the authorship verification problem. tr_TR
dc.language.iso eng tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Authorship Attribution tr_TR
dc.subject Identification tr_TR
dc.subject Verification tr_TR
dc.subject Modeling tr_TR
dc.title Authorship Modelling Approach for Authorship Verification on the Turkish Texts tr_TR
dc.type conferenceObject tr_TR
dc.relation.journal 26th IEEE Signal Processing and Communications Applications Conference (SIU) tr_TR
dc.contributor.authorID 11916 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü tr_TR


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