Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 7
2025-2030,2038

Multimodal sentiment analysis based on cross-modal gating mechanism and improved fusion method

Miao Yuqing1a,1b,1c
Yang Shuang1a
Liu Tonglai2
Zhang Wanzhen2,3
Zhu Lin1a
Zhou Ming4
1. a. School of Computer Science & Information Security, b. Guangxi Key Laboratory of Image & Graphics Intelligent Processing, c. Guangxi Key Laboratory of Cryptography & Information Security, Guilin University of Electronic Technology, Guilin Guangxi 541004, China
2. College of Information Science & Technology, Zhongkai University of Agriculture & Engineering, Guangzhou 510225, China
3. Engineering Comprehensive Training Center, Guilin University of Aerospace Technology, Guilin Guangxi 541004, China
4. Guilin Hivision Technology Company, Guilin Guangxi 541004, China
DOI: 10.19734/j.issn.1001-3695.2022.12.0766

Abstract

How to effectively mine unimodal representations and achieve full fusion of multimodal information is one of the key points in multimodal sentiment analysis. To address the issues of inter-modal noise and inadequate fusion of multimodal features in multimodal sentiment analysis, this paper proposed a multimodal sentiment analysis model based on cross-modal gating mechanism and improved fusion method. Firstly, this paper utilized cross-modal gating mechanism to remove inter-modal noise and extract complementary information, enhancing the modal representation. Then, the model used weight and similarity constraint to focus the difference of emotional contribution and the consistency of emotional expression among modalities, respectively. Finally, the model combined multi-level representation of modalities to obtain results of sentiment analysis. Experimental results on three public datasets show that the proposed model is effective and achieves better performances than some existing models.

Foundation Support

国家自然科学基金资助项目(61866007)
广西自然科学基金重点项目(2018GXNSFDA138006)
广西高校图像图形智能处理重点实验室研究项目(GIIP201706)
广西自然科学基金资助项目(2020GXNSFAA159094)
广东省研究生教育创新计划资助项目(2022JGXM115)
教育部产学合作协同育人项目(202102191071,202102211021)
桂林电子科技大学研究生教育创新计划资助项目(2022YCXS066,2023YCXS044)
广东自然科学基金资助项目(2023A1515011230)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.12.0766
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 7
Section: Algorithm Research & Explore
Pages: 2025-2030,2038
Serial Number: 1001-3695(2023)07-016-2025-06

Publish History

[2023-03-08] Accepted Paper
[2023-07-05] Printed Article

Cite This Article

缪裕青, 杨爽, 刘同来, 等. 基于跨模态门控机制和改进融合方法的多模态情感分析 [J]. 计算机应用研究, 2023, 40 (7): 2025-2030,2038. (Miao Yuqing, Yang Shuang, Liu Tonglai, et al. Multimodal sentiment analysis based on cross-modal gating mechanism and improved fusion method [J]. Application Research of Computers, 2023, 40 (7): 2025-2030,2038. )

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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