Identification and Verification of Authorship Using Machine and Deep Learning Methods

This article presents studies aimed at analyzing methods for determining and confirming the authorship of texts. Methods for transforming texts into vector representations and determining authorship through text classification are investigated. A data set is formed on which the studied methods are tested, after which conclusions are drawn about their effectiveness. Further directions for research are also proposed.

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Publication Details

Journal
Automatic Control and Computer Sciences
Published
2024-12-01
DOI
https://doi.org/10.3103/s0146411624700925
Primary Topic
Authorship Attribution and Profiling
Type
article
Field-Weighted Citation Impact
0.00
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article

Identification and Verification of Authorship Using Machine and Deep Learning Methods

T. D. Ovasapyan, E. A. Zubkov, E. M. Tolgorenko
Automatic Control and Computer Sciences
Authorship Attribution and Profiling
article

Identification and Verification of Authorship Using Machine and Deep Learning Methods

T. D. Ovasapyan, E. A. Zubkov, E. M. Tolgorenko
article en

Abstract

This article presents studies aimed at analyzing methods for determining and confirming the authorship of texts. Methods for transforming texts into vector representations and determining authorship through text classification are investigated. A data set is formed on which the studied methods are tested, after which conclusions are drawn about their effectiveness. Further directions for research are also proposed.

Automatic Control and Computer SciencesVol. 58(8)
Peter the Great St. Petersburg Polytechnic University (RU)
Openalex Percentile: Top 74%
Authorship Attribution and Profiling
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