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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/36303
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dc.contributor.authorBartosh, V. I.-
dc.date.accessioned2019-09-18T05:57:32Z-
dc.date.available2019-09-18T05:57:32Z-
dc.date.issued2019-
dc.identifier.citationBartosh, 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.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/36303-
dc.description.abstractThe 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.ru_RU
dc.language.isoenru_RU
dc.publisherБГУИРru_RU
dc.subjectматериалы конференцийru_RU
dc.subjectmachine learningru_RU
dc.subjectautomated categorizationru_RU
dc.titleMachine learning in automated text categorizationru_RU
dc.typeСтатьяru_RU
Appears in Collections:Проблемы экономики и информационных технологий : материалы 55-й юбилейной научной конференции аспирантов, магистрантов и студентов (2019)

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