Text classification model based on CNN and BiGRU fusion attention mechanism

This model proposes a text classification model with deep learning algorithm, which combines the characteristics of Convolutional Neural Network (CNN) and Gate Recurrent Unit (GRU) in cyclic neural network, extracts local and global features of text feature words respectively, and calculates the imp...

Полное описание

Библиографические подробности

Главные авторы:	Ma Yuqun, Chen Hailong, Wang Qing, Zheng Xin
Формат:	Artigo
Язык:	Inglês
Опубликовано:	EDP Sciences 2022-01-01
Серии:	ITM Web of Conferences
Предметы:	text categorization deep learning convolution neural network (cnn) gate recurrent unit (gru) attention
Online-ссылка:	https://www.itm-conferences.org/articles/itmconf/pdf/2022/07/itmconf_cccar2022_02040.pdf
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