An overview of existing automated methods definition of the author of the written text identification characteristics

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dc.citation.epage247
dc.citation.spage245
dc.contributor.authorSliusarieva Yuliia
dc.contributor.authorBorysova Natalia
dc.contributor.authorMelnyk Karina
dc.date.accessioned2022-11-11T07:57:47Z
dc.date.available2022-11-11T07:57:47Z
dc.date.issued2020
dc.description.abstractAbstract. The paper presents an overview of the existing methods for solving the problem of automated identification of the author of the written text: substantiated the relevance of the research topic, analyzed the existing methods of solving the task, identified their advantages and disadvantages, selected the direction of further program implementation.
dc.identifier.citationSliusarieva Yu. An overview of existing automated methods definition of the author of the written text identification characteristics / Yuliia Sliusarieva, Natalia Borysova, Karina Melnyk // Computational Linguistics and Intelligent Systems. – Lviv, 2020. – Volume 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine, June 23–24, 2020. – P. 245–247. – URL: https://colins.in.ua/wp-content/uploads/2020/06/preface_colins_volume2_2020_part6.pdf (дата звернення: 08.11.2022). – Bibliography: 2 titles.
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/57076
dc.language.isoen
dc.publisherонлайн
dc.subjectauto-examination, the author of the written text identification characteristics, methods for classifying texts
dc.titleAn overview of existing automated methods definition of the author of the written text identification characteristics
dc.typeConference Abstract

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Computational Linguistics and Intelligent Systems. – 2020 р.