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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 7
2037-2042

Aspect based sentiment analysis with progressive enhancement and graph convolution

Qi Songzhea
Huang Xianyinga
Sun Haidonga
Liu Jiayanb
a. College of Computer Science & Engineering, b. College of Economics & Finance, Chongqing University of Technology, Chongqing 401320, China
DOI: 10.19734/j.issn.1001-3695.2022.01.0005

Abstract

The purpose of aspect-level sentiment analysis is to determine the sentiment of specific aspect words in a sentence. In recent years, many methods have adopted syntactic dependency tree combined with graph convolutional network modeling. But the use of syntactic dependency structures is too direct and ignores the noise effect that accompanies the spanning tree, which limits the use of syntactic relations. This paper proposed an emotional classification model(PCB-GCN) with progressive enhancement combined with a bidirectional graph convolution module. Firstly, it designed a progressive enhancement algorithm to obtain richer syntactic relations, used Bi-LSTM to extract semantics, and used bidirectional graph convolution module for feature extraction for syntactic graph structures in different directions. Finally, it combined the syntactic features and context semantics through a collaborative network, combined them for the final classification. The model has been tested on multiple public data sets, and all have achieved better results than the current baseline model.

Foundation Support

国家自然科学基金资助项目(17XXW005,62141201)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.01.0005
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 7
Section: Algorithm Research & Explore
Pages: 2037-2042
Serial Number: 1001-3695(2022)07-018-2037-06

Publish History

[2022-03-08] Accepted Paper
[2022-07-05] Printed Article

Cite This Article

齐嵩喆, 黄贤英, 孙海栋, 等. 基于渐进增强与图卷积的方面级情感分析模型 [J]. 计算机应用研究, 2022, 39 (7): 2037-2042. (Qi Songzhe, Huang Xianying, Sun Haidong, et al. Aspect based sentiment analysis with progressive enhancement and graph convolution [J]. Application Research of Computers, 2022, 39 (7): 2037-2042. )

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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