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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 12

Sentiment analysis of multimodal adaptive feature fusion based on adversarial training

Feng Guanga
Huang Rongcanb
Zhou Yuanhuaa
Xiang Fengb
Yang Yanrub
Zheng Runtingb
Liu Tianxiangb
Li Weichenb
a. School of Automation, b. School of Computer Science, Guangdong University of Technology, Guangzhou 510006, China
DOI: 10.19734/j.issn.1001-3695.2025.05.0138

Abstract

Multimodal sentiment analysis plays a key role in online classroom-based smart education, which has attracted increasing attention in recent years. However, current methods fail to fully exploit inter-modal complementarity, overlook the dominant role of the textual modality, and struggle with noise and robustness issues. To address these problems, we propose a multimodal adaptive feature fusion approach based on adversarial training. We use audio and video as low-level features, enhance their information density through cross-attention interaction, and apply adaptive weighting to dynamically refine the interaction results. We introduce a masking mechanism to preserve key sentence representations in the text modality, and use cross-modal attention to further optimize audio and video. In addition, we design an adversarial framework where the feature extractor and modal discriminator jointly align and fuse multimodal features in a shared space. Experimental results show that our model achieves superior performance on the MOSI and MOSEI datasets.

Foundation Support

国家自然科学基金重点项目(62237001)
广东省哲学社会科学青年项目(GD23YJY08)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.05.0138
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 12

Publish History

[2025-08-06] Accepted Paper

Cite This Article

冯广, 黄荣灿, 周垣桦, 等. 基于对抗训练与多模态自适应特征融合的情感分析 [J]. 计算机应用研究, 2025, 42 (12). (2025-08-06). https://doi.org/10.19734/j.issn.1001-3695.2025.05.0138. (Feng Guang, Huang Rongcan, Zhou Yuanhua, et al. Sentiment analysis of multimodal adaptive feature fusion based on adversarial training [J]. Application Research of Computers, 2025, 42 (12). (2025-08-06). https://doi.org/10.19734/j.issn.1001-3695.2025.05.0138. )

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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