App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 12

Semantic-guided and adaptive interaction method for multimodal sentiment analysis

Chen Zhuopeng1
Lu Tianliang1,2
Zhang Teng1
Peng Shufan1
He Chunhao1
Shan Chenghao1
1. School of Information and Cyber Security, People's Public Security University of China, Beijing 100038, China
2. Beijing Key Laboratory of Artificial Intelligence and Smart Policing Applications, Beijing 100038, China
DOI: 10.19734/j.issn.1001-3695.2026.04.0106

Abstract

Multimodal sentiment analysis often suffers from semantic inconsistency across modalities and the susceptibility of non-text modalities to introduce noise. To address these issues, we propose SGISent, a semantic-guided and adaptive interaction framework for multimodal sentiment analysis. Specifically, we employ the textual modality as a semantic anchor and design a text-guided alignment mechanism to constrain audio and visual representations within a unified semantic space, thereby alleviating cross-modal semantic discrepancies. Building upon the aligned representations, we further introduce an Adaptive Dominance Learning Module (ADLM) to model bidirectional cross-modal interactions. Through cooperative attention and dynamic gating mechanisms, ADLM adaptively regulates the flow of cross-modal information, enabling stable collaborative enhancement while suppressing redundant and noisy signals. Extensive experiments on CMU-MOSI, CMU-MOSEI, and CH-SIMS demonstrate that SGISent consistently outperforms competitive baselines in terms of Acc-5, Acc-7, and MAE, validating its effectiveness in improving cross-modal consistency and discriminative capability.

Foundation Support

2024年度北京社科基金规划项目(24FXC017)中国人民公安大学"双一流"建设项目(2026SYL0301)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.04.0106
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 12

Publish History

[2026-08-04] Accepted Paper

Cite This Article

陈卓鹏, 芦天亮, 张腾, 等. 基于语义引导与自适应交互的多模态情感分析方法 [J]. 计算机应用研究, 2026, 43 (12). (2026-08-25). https://doi.org/10.19734/j.issn.1001-3695.2026.04.0106. (Chen Zhuopeng, Lu Tianliang, Zhang Teng, et al. Semantic-guided and adaptive interaction method for multimodal sentiment analysis [J]. Application Research of Computers, 2026, 43 (12). (2026-08-25). https://doi.org/10.19734/j.issn.1001-3695.2026.04.0106. )

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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