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Multimodal sentiment analysis model based on unified alignment and multi-stage fusion

Feng Guanga
Liu Xintinga
Lin Yibaob
Zhao Zhiwena
Xiao Junhonga
Zhou Kedonga
Huang Junhuib
a. School of Automation, b. School of Computer Science, Guangdong University of Technology, Guangzhou 510006, China

Abstract

To address modality heterogeneity, time-varying contributions, and limited semantic abstraction in multimodal sentiment analysis, this paper proposes a three-stage closed-loop fusion model (MIFA) . Specifically, it follows an alignment-regulation-abstraction fusion path that comprises unified semantic alignment, dynamic fusion regulation, and hierarchical semantic abstraction. First, unified semantic alignment expresses heterogeneous modalities in a shared space. Next, contextual gating and channel modulation estimate modality/channel weights and refine representations. Finally, a hierarchical residual abstraction enhances discriminative features, forming an end-to-end closed loop. Experiments on CMU-MOSI and CMU-MOSEI show that MIFA achieves Acc2 of 86.43%/86.03% and F1 of 86.42%/85.81%; Acc7 reaches 45.04%/50.41%, and MAE is 0.689/0.532, outperforming mainstream baselines. These results indicate that MIFA stabilizes cross-modal alignment and adaptively regulates information flow, improves sentiment classification and intensity regression, and offers practical potential for complex multimodal scenarios.

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.1001-3695.2025.06.0214
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 2

Publish History

[2025-10-27] Accepted Paper

Cite This Article

冯广, 刘馨婷, 林忆宝, 等. 基于统一对齐与多阶段融合机制的多模态情感分析模型 [J]. 计算机应用研究, 2026, 43 (2). (2025-11-04). https://doi.org/10.19734/j.issn.1001-3695.2025.06.0214. (Feng Guang, Liu Xinting, Lin Yibao, et al. Multimodal sentiment analysis model based on unified alignment and multi-stage fusion [J]. Application Research of Computers, 2026, 43 (2). (2025-11-04). https://doi.org/10.19734/j.issn.1001-3695.2025.06.0214. )

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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