Identification and Verification of Authorship Using Machine and Deep Learning Methods

IF 0.5 Q4 AUTOMATION & CONTROL SYSTEMS AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2025-03-14 DOI:10.3103/S0146411624700925
T. D. Ovasapyan, E. M. Tolgorenko, E. A. Zubkov
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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.

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使用机器和深度学习方法识别和验证作者身份
本文介绍了旨在分析确定和确认文本作者的方法的研究。研究了将文本转换为矢量表示和通过文本分类确定作者身份的方法。本文建立了一个数据集,对所研究的方法进行了测试,然后就其有效性得出了结论。此外,还提出了进一步的研究方向。
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来源期刊
AUTOMATIC CONTROL AND COMPUTER SCIENCES
AUTOMATIC CONTROL AND COMPUTER SCIENCES AUTOMATION & CONTROL SYSTEMS-
CiteScore
1.70
自引率
22.20%
发文量
47
期刊介绍: Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision
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