| DC Field | Value | Language |
|---|
| dc.contributor.author | Стержанов, М. В. | - |
| dc.contributor.author | Шинкевич, Н. Н. | - |
| dc.contributor.author | Селюк, М. И. | - |
| dc.contributor.author | Рожков, Д. Н. | - |
| dc.contributor.author | Пресняцкий, В. Ю. | - |
| dc.contributor.author | Свито, А. И. | - |
| dc.date.accessioned | 2017-11-27T09:02:01Z | - |
| dc.date.available | 2017-11-27T09:02:01Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.citation | Функциональность 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.uri | https://libeldoc.bsuir.by/handle/123456789/28079 | - |
| dc.description.abstract | The 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.iso | ru | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | функциональность системы | ru_RU |
| dc.subject | анализ текстовых данных | ru_RU |
| dc.title | Функциональность системы получения и анализа текстовых данных | ru_RU |
| dc.type | Статья | ru_RU |
| Appears in Collections: | BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2017)
|
