| DC Field | Value | Language |
|---|
| dc.contributor.author | Шлеменков, А. А. | - |
| dc.date.accessioned | 2017-11-24T07:57:09Z | - |
| dc.date.available | 2017-11-24T07:57:09Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.citation | Шлеменков, А. А. Сравнение различных подходов к анализу текста на примере задачи предсказания оценки ресторана по отзыву посетителя / А. А. Шлеменков // 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. 298-300. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/28054 | - |
| dc.description.abstract | In this research paper two common methods of texts analysis had been applied to the problem of res-
taurant review mark prediction. The results of the methods applied to the task had been analyzed and had been listed in
table for comparison; reasons of different performance for specific pair of data and problem had been proposed. | ru_RU |
| dc.language.iso | ru | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | анализ текста | ru_RU |
| dc.subject | рестораны | ru_RU |
| dc.subject | естественная обработка языков | ru_RU |
| dc.subject | отзывы посетителей | ru_RU |
| dc.title | Сравнение различных подходов к анализу текста на примере задачи предсказания оценки ресторана по отзыву посетителя | 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)
|
