Quarterly journal published in SPbPU
and edited by prof. Dmitry Zegzhda
Peter the Great St. Petersburg Polytechnic University
Institute of computer sciences and technologies
information security of computer systems
Information Security Problems. Computer Systems
Published since 1999.
ISSN 2071-8217
AUTHORSHIP IDENTIFICATION AND VERIFICATION USING MACHINE AND DEEP LEARNING METHODS
E. M. Tolgorenko, E. A. Zubkov, T. D. Ovasapyan Peter the Great St. Petersburg Polytechnic University
Annotation: The article presents research aimed at analyzing methods of text authorship identification and verification. The methods of transforming texts into vector representations and determining authorship through text classification are investigated. A dataset is formed, on which the investigated methods are tested, after which conclusions about their effectiveness are drawn. Further research directions are also proposed
Keywords: authorship verification, authorship identification, classification, deep learning methods, machine learning, N-gram, TF-IDF, PCA
Pages 178–193