Algorithm Research & Explore
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1753-1758

Joint left and right attention mechanism for aspect-level text sentiment analysis

Ma Yuan
Cheng Chunling
School of Computer Science, Nanjing University of Posts & Telecommunications, Nanjing 210023, China

Abstract

Aspect words consist of multiple words, averaging the word vectors of all words may lead to semantic errors or confusion, and different context words have different influence on the judgment of emotional polarity for aspect words. This paper proposed a text sentiment analysis model that integrated the left and right bilateral attention mechanisms. First, the model designed an internal attention mechanism to process aspect words, and designed a bilateral interactive attention mechanism based on aspect words and context words, and finally cascaded the three parts of the processing result of bilateral interactive attention and the aspect word processing value for classification. Experiments on the two datasets from SemEval2014 task 4 show that the proposed model achieves 81.33% and 74.22% accuracy respectively, and has achieved better results than models that combine machine learning or attention mechanisms.

Foundation Support

国家自然科学基金资助项目(61672297)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.07.0185
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 6
Section: Algorithm Research & Explore
Pages: 1753-1758
Serial Number: 1001-3695(2021)06-028-1753-06

Publish History

[2021-06-05] Printed Article

Cite This Article

马远, 程春玲. 融合左右双边注意力机制的方面级别文本情感分析 [J]. 计算机应用研究, 2021, 38 (6): 1753-1758. (Ma Yuan, Cheng Chunling. Joint left and right attention mechanism for aspect-level text sentiment analysis [J]. Application Research of Computers, 2021, 38 (6): 1753-1758. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
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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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