Identification and Verification of Authorship Using Machine and Deep Learning Methods

被引：0
|
作者：
Ovasapyan, T. D. [1 ]
Tolgorenko, E. M. [1 ]
Zubkov, E. A. [1 ]
机构：
[1] Peter Great St Petersburg Polytech Univ, St Petersburg 195251, Russia
来源：
AUTOMATIC CONTROL AND COMPUTER SCIENCES | 2024年 / 58卷 / 08期
关键词：
authorship verification; authorship determination; classification; deep learning methods; machine learning; N-gram; TF-IDF measure; PCA;
D O I：
10.3103/S0146411624700925
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：1271 / 1282
页数：12
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