| Title: | Text classification based on the use of convolutional neural networks |
| Issue Date: | 2020 |
| Citation: | Popova E.S. Text classification based on the use of convolutional neural networks / E.S. Popova, V.G Spitsyn // Информационные технологии и нанотехнологии (ИТНТ-2020). Сборник трудов по материалам VI Международной конференции и молодежной школы (г. Самара, 26-29 мая): в 4 т. / Самар. нац.-исслед. ун-т им. С. П. Королева (Самар. ун-т), Ин-т систем. обраб. изобр. РАН-фил. ФНИЦ "Кристаллография и фотоника" РАН; [под ред. В. А. Фурсова]. – Самара: Изд-во Самар. ун-та, 2020. – Том 4. Науки о данных. – 2020. – С. 887-891. |
| Abstract: | The article is devoted to neural network text classification algorithms. This paper presents the main components of the text classification system, as well as the same problems associated with the use of the architecture of convolutional neural networks. The algorithm for obtaining vector representations of the dictionary is described. |
| URI: | http://repo.ssau.ru/jspui/handle/123456789/12985 |
| Appears in Collections: | Информационные технологии и нанотехнологии |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ИТНТ-2020_том 4-887-891.pdf | 337.28 kB | Adobe PDF | View/Open |
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