Text classification model based on CNN and BiGRU fusion attention mechanism

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...

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Bibliographic Details
Main Authors: Ma Yuqun, Chen Hailong, Wang Qing, Zheng Xin
Format: Article
Language:English
Published: EDP Sciences 2022-01-01
Series:ITM Web of Conferences
Subjects:
text categorization
deep learning
convolution neural network (cnn)
gate recurrent unit (gru)
attention
Online Access:https://www.itm-conferences.org/articles/itmconf/pdf/2022/07/itmconf_cccar2022_02040.pdf

Internet

https://www.itm-conferences.org/articles/itmconf/pdf/2022/07/itmconf_cccar2022_02040.pdf

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