Artificial intelligence

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ISSN 2710-1673

ONLINE: ISSN 2710-1681

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Authorship attribution system

Marchenko O.1, Nykonenko A.2, Rossada T.2, Melnikov E.2
1 National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
2 Taras Shevchenko National University of Kyiv

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UDC: 68Т50
Publication Language: Ukrainian
Stuc. intelekt. 2016; 21(2):77-85

Abstract: A new effective system for identification and verification of text authorship has been developed. The system is created on the base of machine learning. The originality of the proposed model is caused by the unique profile of the author attributes that allows getting extra-high performance accuracy using the method of the Support Vector Machine (SVM).

Keywords: authorship identification, machine learning, support vector machine

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