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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 12
3574-3580,3585

Aspect-based sentiment analysis based on graph neural network

Zhang Heqiao
Gou Gang
Chen Qingmei
College of Computer Science & Technology, Guizhou University, Guizhou 550025, China
DOI: 10.19734/j.issn.1001-3695.2021.05.0166

Abstract

Most aspect sentiment analysis is based on recurrent neural networks and attention mechanisms, and these models lack a mechanism to account for relevant syntactical constraints and long-range word dependencies. To tackle this problem, this paper proposed a sentence relationship graph model based on sentence dependency tree and word sequence information. Firstly, it transformed the sentence into a graph, constructed the words as nodes of the graph, and the edges in the graph were composed of word dependency and word sequence information. Then it proposed an adjacency matrix tagging scheme to mark the sentence relation graphs. Finally, it used graph neural network to realize the classification task of nodes and edges. This model was tested on two datasets of restaurant and laptop in SemEval2014, and the classification F1-score of the two datasets was increased by about 5%. The experimental results show that it is beneficial to transform sentences into graphs and use the graph neural network to perform aspect-based sentiment analysis on sentences.

Foundation Support

国家自然科学基金资助项目(61562009)
贵州省自然科学基金资助项目(黔科合基础［2019］1088)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.05.0166
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 12
Section: Algorithm Research & Explore
Pages: 3574-3580,3585
Serial Number: 1001-3695(2021)12-009-3574-07

Publish History

[2021-12-05] Printed Article

Cite This Article

张合桥, 苟刚, 陈青梅. 基于图神经网络的方面级情感分析 [J]. 计算机应用研究, 2021, 38 (12): 3574-3580,3585. (Zhang Heqiao, Gou Gang, Chen Qingmei. Aspect-based sentiment analysis based on graph neural network [J]. Application Research of Computers, 2021, 38 (12): 3574-3580,3585. )

About the Journal

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

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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