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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 9

Multimodal sentiment analysis model based on multi-task joint learning and adaptive fusion

Fan Jidong1
Zhong Zhaoman1,2
Han Tianle1
Li Menghan1
Cui Xinru1
Xu Jin1
1. School of Computer Engineering, Jiangsu Ocean University, Lianyungang 222005, China
2. Jiangsu Institute of Marine Resources Development, Jiangsu Ocean University, Lianyungang 222005, China
DOI: 10.19734/j.issn.1001-3695.2025.03.0038

Abstract

To address feature redundancy and noise caused by modal heterogeneity in multimodal sentiment analysis, a novel model named MTL-SAF was proposed. The model built a multi-task sentiment analysis module to process multimodal and single-modal tasks simultaneously. This design captured inter-modal heterogeneous features more comprehensively. A self-adaptive fusion mechanism with dynamic weight allocation was introduced to suppress redundant information. A multi-scale feature extraction strategy was applied to integrate both low-level and high-level features, enhancing sentiment representation. Experiments on SIMS, MOSI, and MOSEI datasets show that MTL-SAF achieves higher accuracy and F1 scores than existing baseline models. Results demonstrate strong performance in handling modal heterogeneity and confirm the model’s effectiveness in improving feature representation.

Foundation Support

国家自然科学基金资助项目(72174079)
江苏省"青蓝工程"大数据优秀教学团队(2022-29)
连云港市重点研发计划(产业前瞻与关键核心技术)项目(CG2323)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.03.0038
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 9

Publish History

[2025-05-21] Accepted Paper

Cite This Article

樊继冬, 仲兆满, 韩天乐, 等. 基于多任务联合学习与自适应融合的多模态情感分析模型 [J]. 计算机应用研究, 2025, 42 (9). (2025-05-27). https://doi.org/10.19734/j.issn.1001-3695.2025.03.0038. (Fan Jidong, Zhong Zhaoman, Han Tianle, et al. Multimodal sentiment analysis model based on multi-task joint learning and adaptive fusion [J]. Application Research of Computers, 2025, 42 (9). (2025-05-27). https://doi.org/10.19734/j.issn.1001-3695.2025.03.0038. )

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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