Algorithm Research & Explore
|
App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 12
3614-3619,3625

Chinese aspect-based sentiment analysis integrating sentiment and topic information

Zhou Faguo
Sun Dongxue
School of Mechanical Electronic & Information Engineering, China University of Mining & Technology-Beijing, Beijing 100083, China
DOI: 10.19734/j.issn.1001-3695.2022.05.0236

Abstract

In recent years, the aspect-based sentiment analysis model uses graph convolutional network(GCN) to learn the grammatical structure information of sentences, but ignores the known sentiment word information and the known topic environment belonged to the comments. These gradually can't meet the needs of sentiment analysis of Chinese social networks. To solve the above problems, this paper proposed a double-channel of char and word(2D-SGCN) model based on soft fusion of dictionary and deep learning. Firstly, it constructed a microblog domain sentiment dictionary based on the expansion of the basic sentiment dictionary, then obtained sentiment words. Secondly, it used the pre-training model to obtain the initial feature vector of the chars and word, and integrated the aspect word and topic information in the char dimension. Then it used the Bi-LSTM and GCN with emotional information(SGCN) models to learn global and local information respectively. And it obtained the final features of aspect words through the attention mechanism and obtained better expression of text through multi-dimensional fusion. Finally, it combined the topic and aspect information for correction and classification. On the Restaurant dataset of SemEval-2014, F1 is 73.67%, on the NLPCC2012 dataset, F1 is 91.5%, which proves the effectiveness of the 2D-SGCN model.

Foundation Support

国家自然科学基金资助项目(62072008)
中央高校基本科研业务费资助项目(2022YJSJD26)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.05.0236
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 12
Section: Algorithm Research & Explore
Pages: 3614-3619,3625
Serial Number: 1001-3695(2022)12-013-3614-06

Publish History

[2022-07-25] Accepted Paper
[2022-12-05] Printed Article

Cite This Article

周法国, 孙冬雪. 融入情感和话题信息的中文方面级情感分析 [J]. 计算机应用研究, 2022, 39 (12): 3614-3619,3625. (Zhou Faguo, Sun Dongxue. Chinese aspect-based sentiment analysis integrating sentiment and topic information [J]. Application Research of Computers, 2022, 39 (12): 3614-3619,3625. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)