An Overview of Existing Automated Methods Definition of the Author of the Written Text Identification Characteristics

dc.contributor.authorSliusarieva, Yuliia
dc.contributor.authorBorysova, Natalia
dc.contributor.authorMelnyk, Karina
dc.date.accessioned2024-02-15T19:34:24Z
dc.date.available2024-02-15T19:34:24Z
dc.date.issued2020
dc.description.abstractThe 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 Y. An Overview of Existing Automated Methods Definition of the Author of the Written Text Identification Characteristics [Electronic resource] / Y. Sliusarieva, N. Borysova, K. Melnyk // Computational Linguistics and Intelligent Systems (COLINS 2020) : proc. of the 4th Intern. Conf., April 23-24, 2020. Vol. 2. – Electronic text data. – Lviv, 2020. – P. 245-247. – Access mode: https://colins.in.ua/wp-content/uploads/2020/06/preface_colins_volume2_2020_part6.pdf, free (date of the application 15.02.2024.).
dc.identifier.orcidhttps://orcid.org/0000-0002-8834-2536
dc.identifier.orcidhttps://orcid.org/0000-0001-9642-5414
dc.identifier.urihttps://repository.kpi.kharkov.ua/handle/KhPI-Press/74157
dc.language.isoen
dc.subjectauto-examination
dc.subjectwritten text identification characteristics
dc.subjectauthor
dc.subjectmethods for classifying texts
dc.subjectautomated methods definition
dc.subjectprogram implementation
dc.titleAn Overview of Existing Automated Methods Definition of the Author of the Written Text Identification Characteristics
dc.typeArticle

Файли

Контейнер файлів

Зараз показуємо 1 - 1 з 1
Ескіз
Назва:
Sliusarieva_An_overview_2020.pdf
Розмір:
232.32 KB
Формат:
Adobe Portable Document Format

Ліцензійна угода

Зараз показуємо 1 - 1 з 1
Ескіз недоступний
Назва:
license.txt
Розмір:
11.25 KB
Формат:
Item-specific license agreed upon to submission
Опис: