Using artificial neural networks to solve text classification problems
Электронный архив ТПУ
Информация об архиве | Просмотр оригинала| Поле | Значение | |
| Заглавие |
Using artificial neural networks to solve text classification problems
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| Автор |
Popova, Ekaterina Sergeevna
Spitsyn, Vladimir Grigorievich Ivanova, Yulia Aleksandrovna |
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| Тематика |
text comprehension
natural language processing convolutional neural networks text classification тексты обработка естественные языки сверточные сети нейронные сети классификация |
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| Описание |
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.
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| Дата |
2020-01-23T09:13:07Z
2020-01-23T09:13:07Z 2019 |
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| Тип |
Conference Paper
Published version (info:eu-repo/semantics/publishedVersion) Conference paper (info:eu-repo/semantics/conferencePaper) |
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| Идентификатор |
Popova E. S. Using artificial neural networks to solve text classification problems / E. S. Popova, V. G. Spitsyn, Yu. A. Ivanova // 14th International Forum on Strategic Technology (IFOST-2019), October 14-17, 2019, Tomsk, Russia : [proceedings]. — Tomsk : TPU Publishing House, 2019. — [С. 364-366].
http://earchive.tpu.ru/handle/11683/57481 |
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| Язык |
en
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| Связанные ресурсы |
14th International Forum on Strategic Technology (IFOST-2019), October 14-17, 2019, Tomsk, Russia : [proceedings]. — Tomsk, 2019.
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| Права |
Open access (info:eu-repo/semantics/openAccess)
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