| DC Field | Value | Language |
|---|
| dc.contributor.author | Иванин, Н. С. | - |
| dc.contributor.author | Гербик, А. И. | - |
| dc.contributor.author | Макович, Е. А. | - |
| dc.contributor.author | Аксамит, М. В. | - |
| dc.contributor.author | Дорошкевич, П. Е. | - |
| dc.contributor.author | Свито, А. И. | - |
| dc.date.accessioned | 2017-11-27T08:35:19Z | - |
| dc.date.available | 2017-11-27T08:35:19Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.citation | Алгоритмы анализа тональности текста / Н. С. Иванин 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 aol.]. – Minsk : BSUIR, 2017. – С. 150-154. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/28072 | - |
| dc.description.abstract | Sentiment Analysis (SA) is an ongoing field of research in text mining field. SA is the computational
treatment of opinions, sentiments and subjectivity of text. In this paper various algorithms for sentiment analysis are
studied and challenges and applications appear in this field are discussed. | ru_RU |
| dc.language.iso | ru | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | тональность текста | ru_RU |
| dc.subject | Sentiment analysis | ru_RU |
| dc.subject | естественный язык | ru_RU |
| dc.title | Алгоритмы анализа тональности текста | 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)
|
