Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 11
3227-3231,3245

Aspect-level sentiment classification based on self-attention mechanism

Wang Fulin
Liu Dan
Chang Xi
Research Institute of Electronic Science & Technology, University of Electronic Science & Technology of China, Chengdu 611731, China
DOI: 10.19734/j.issn.1001-3695.2019.07.0259

Abstract

Aspect-level sentiment classification determines the emotional polarity from sentence towards a specific aspect word. When using the global attention mechanism to calculate the attention scores of attribute words and other words of the sentence, the model will focus on words that are not related to the attribute words, and pay insufficient attention to long-distance dependent words and negative words, and cannot detect side-by-side relationships or phrases. To solve these problems, this paper proposed a semantic enhancement model based on the self-attention mechanism(SRSAM). The model first used the bidirectional long short-term memory model to obtain the text encoding, and then used the self-attention mechanism to calculate the multiple semantic encodings of the text encoding. Finally, it used the attribute words and semantic coding to interact to determine the emotional polarity of the attribute words in the sentence. The experiment on the SemEval 2014 dataset show that, since the model can find long-distance dependence and negative words, it has a certain detection effect on the parallel relationship and the phrase, and the classification accuracy is 0.6%~1.5% higher than the basic model.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.07.0259
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 11
Section: Algorithm Research & Explore
Pages: 3227-3231,3245
Serial Number: 1001-3695(2020)11-005-3227-05

Publish History

[2020-11-05] Printed Article

Cite This Article

王拂林, 刘丹, 昌茜. 基于自注意力机制的方面情感分类 [J]. 计算机应用研究, 2020, 37 (11): 3227-3231,3245. (Wang Fulin, Liu Dan, Chang Xi. Aspect-level sentiment classification based on self-attention mechanism [J]. Application Research of Computers, 2020, 37 (11): 3227-3231,3245. )

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  • Application Research of Computers Monthly Journal
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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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