Çankaya GCRIS Standart veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.
 

Authorship Modelling Approach for Authorship Verification on the Turkish Texts

No Thumbnail Available

Date

2018

Authors

Akçapınar Sezer, Ebru
Sever, Hayri

Journal Title

Journal ISSN

Volume Title

Publisher

Open Access Color

OpenAIRE Downloads

OpenAIRE Views

Research Projects

Organizational Units

Journal Issue

Events

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.

Description

Keywords

Authorship Attribution, Identification, Verification, Modeling

Turkish CoHE Thesis Center URL

Fields of Science

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).

WoS Q

Scopus Q

Source

26th IEEE Signal Processing and Communications Applications Conference (SIU)

Volume

Issue

Start Page

End Page