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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/28079
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dc.contributor.authorСтержанов, М. В.-
dc.contributor.authorШинкевич, Н. Н.-
dc.contributor.authorСелюк, М. И.-
dc.contributor.authorРожков, Д. Н.-
dc.contributor.authorПресняцкий, В. Ю.-
dc.contributor.authorСвито, А. И.-
dc.date.accessioned2017-11-27T09:02:01Z-
dc.date.available2017-11-27T09:02:01Z-
dc.date.issued2017-
dc.identifier.citationФункциональность системы получения и анализа текстовых данных / М. В. Стержанов и другие // BIG DATA and Advanced Analytics: collection of materials of the third international scientific and practical conference, Minsk, Belarus, May 3–4, 2017 / editorial board : М. Batura [et al.]. – Minsk : BSUIR, 2017. – С. 242-245.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/28079-
dc.description.abstractThe proliferation of textual data in business is overwhelming. While the amount of textual data is increasing rapidly, businesses’ ability to summarize, understand, and make sense of such data for making better business decisions remain challenging. This paper describes a system that organizes and analyzes textual data for extracting insightful customer intelligence from a large collection of documents and for using such information to improve business operations and performance.ru_RU
dc.language.isoruru_RU
dc.publisherБГУИРru_RU
dc.subjectматериалы конференцийru_RU
dc.subjectфункциональность системыru_RU
dc.subjectанализ текстовых данныхru_RU
dc.titleФункциональность системы получения и анализа текстовых данныхru_RU
dc.typeСтатьяru_RU
Appears in Collections:BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2017)

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