Skip navigation
Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/36303
Title: Machine learning in automated text categorization
Authors: Bartosh, V. I.
Keywords: материалы конференций;machine learning;automated categorization
Issue Date: 2019
Publisher: БГУИР
Citation: Bartosh, V. I. Machine learning in automated text categorization / V. I. Bartosh // Проблемы экономики и информационных технологий: сборник тезисов докладов 55-й юбилейной научной конференции аспирантов, магистрантов и студентов, Минск, 22 – 26 апреля 2019 г. / Белорусский государственный университет информатики и радиоэлектроники. – Минск, 2019. – С. 190 – 191.
Abstract: The paper reveals approaches to the use of machine learning in automated test categorization. The automated categorization of texts into predefined categories has witnessed a booming interest in the last 10 years, due to the increased availability of documents in digital form and the ensuing need to organize them. In the research community the dominant approach to this problem is based on machine learning techniques.
URI: https://libeldoc.bsuir.by/handle/123456789/36303
Appears in Collections:Проблемы экономики и информационных технологий : материалы 55-й юбилейной научной конференции аспирантов, магистрантов и студентов (2019)

Files in This Item:
File Description SizeFormat 
Bartosh_Machine.pdf368.69 kBAdobe PDFView/Open
Show full item record Google Scholar

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.