A Multi-Layer Feature Fusion Model Based on Convolution and Attention Mechanisms for Text Classification

A Multi-Layer Feature Fusion Model Based on Convolution and Attention Mechanisms for Text Classification

Text classification is one of the fundamental tasks in natural language processing and is widely applied in various domains. CNN effectively utilizes local features, while the Attention mechanism performs well in capturing content-based global interactions. In this paper, we propose a multi-layer fe...

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Bibliographic Details
Main Authors: Hua Yang, Shuxiang Zhang, Hao Shen, Gexiang Zhang, Xingquan Deng, Jianglin Xiong, Li Feng, Junxiong Wang, Haifeng Zhang, Shenyang Sheng
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Applied Sciences
Subjects:
text classification
convolutional neural networks (CNN)
attention mechanism
multi-layer feature fusion
Online Access:https://www.mdpi.com/2076-3417/13/14/8550

Internet

https://www.mdpi.com/2076-3417/13/14/8550

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