App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 10

Teacher-guided distillation and modality-coordinated gating with text-query selective alignment for multimodal sentiment analysis

Feng Guanga
Cao Yuqiaoa
Sun Xianglib
Huang Junhuib
Lin Yibaob
Zhao Zhiwena
a. School of Automation, b. School of Computer Science, Guangdong University of Technology, Guangzhou 510006, China
DOI: 10.19734/j.issn.1001-3695.2026.03.0046

Abstract

Multimodal sentiment analysis aims to infer human emotions by integrating textual, acoustic, and visual information. However, semantic misalignment and noise redundancy in non-textual modalities often limit the effectiveness of multimodal fusion. To address these issues, this paper proposes a teacher-guided sentiment analysis framework that combines text-query selective alignment with modality-coordinated gating. Unlike conventional methods that treat different modalities with equal importance, the proposed framework regards the textual modality as a reliable query and explicitly filters and aligns acoustic and visual features according to textual semantics. To improve the representation quality of noisy modalities before fusion, the framework further incorporates a teacher-guided distillation mechanism that transfers knowledge from unimodal teacher models to the multimodal framework. In addition, the framework introduces a modality-coordinated gating module that dynamically adjusts the contribution of each modality to the final decision according to semantic confidence. Experimental results on the CMU-MOSI and CMU-MOSEI benchmark datasets demonstrate that the framework achieves superior or competitive performance in both regression and classification tasks compared with mainstream baseline models, and exhibits good robustness in complex sentiment scenarios.

Foundation Support

国家自然科学基金重点项目(62237001)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.03.0046
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 10

Publish History

[2026-07-29] Accepted Paper

Cite This Article

冯广, 曹雨巧, 孙相利, 等. 基于教师引导蒸馏与文本查询选择性对齐的多模态情感分析 [J]. 计算机应用研究, 2026, 43 (10). (2026-07-30). https://doi.org/10.19734/j.issn.1001-3695.2026.03.0046. (Feng Guang, Cao Yuqiao, Sun Xiangli, et al. Teacher-guided distillation and modality-coordinated gating with text-query selective alignment for multimodal sentiment analysis [J]. Application Research of Computers, 2026, 43 (10). (2026-07-30). https://doi.org/10.19734/j.issn.1001-3695.2026.03.0046. )

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.

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