SA-SGRU: Combining Improved Self-Attention and Skip-GRU for Text Classification

SA-SGRU: Combining Improved Self-Attention and Skip-GRU for Text Classification

When reading texts for text classification tasks, a large number of words are irrelevant, and in text classification tasks, the traditional self-attention mechanism has the problem of weight distribution limitations. Therefore, a text classification model that combines an improved self-attention mec...

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Bibliographic Details
Main Authors: Yuan Huang, Xiaohong Dai, Junhao Yu, Zheng Huang
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Applied Sciences
Subjects:
text classification
skip gated recurrent unit
self-attention mechanism
convolutional neural network
Online Access:https://www.mdpi.com/2076-3417/13/3/1296

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https://www.mdpi.com/2076-3417/13/3/1296

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