Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 3
786-793

Text sentiment analysis based on BERT and hypergraph with dual attention network

Xu Guixiana,b
Liu Lanyina,b
Wang Jiachenga,b
Chen Zhea,b
a. Key Laboratory of Ethnic Language Intelligent Analysis & Security Governance of MOE, b. School of Information Engineering, Minzu University of China, Beijing 100081, China
DOI: 10.19734/j.issn.1001-3695.2023.07.0311

Abstract

To address the problems of large amount of noise and lack of contextual information in short texts on the Web, this paper proposed a text sentiment analysis model based on BERT and hypergraph with dual attention mechanism. This method firstly utilized BERT for dynamic feature extraction of sentiment texts. Meanwhile it mined the contextual, topic and semantic dependency information of the text to model it into a hypergraph, and then aggregated the above information through the dual graph attention mechanism. Finally, it spliced the features extracted by BERT and hypergraph with dual attention network, and obtained the prediction result after softmax layer. The accuracy of this model on the e-commerce review dataset and the Microblog text dataset reaches 95.49% and 79.83% respectively, which is 2.27%~3.45% and 6.97%~11.69% higher than the baselines, respectively. The experimental results show that the model can significantly improve the accuracy of sentiment analysis for Chinese Web short texts.

Foundation Support

国家社会科学基金资助项目(19BGL241)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.07.0311
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 3
Section: Algorithm Research & Explore
Pages: 786-793
Serial Number: 1001-3695(2024)03-020-0786-08

Publish History

[2023-10-17] Accepted Paper
[2024-03-05] Printed Article

Cite This Article

胥桂仙, 刘兰寅, 王家诚, 等. 基于BERT和超图对偶注意力网络的文本情感分析 [J]. 计算机应用研究, 2024, 41 (3): 786-793. (Xu Guixian, Liu Lanyin, Wang Jiacheng, et al. Text sentiment analysis based on BERT and hypergraph with dual attention network [J]. Application Research of Computers, 2024, 41 (3): 786-793. )

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  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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