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Identification and Verification of Authorship Using Machine and Deep Learning Methods

  • T. D. Ovasapyan,
  • E. M. Tolgorenko,
  • E. A. Zubkov

摘要

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.