Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 9
2603-2608

Multimodal sentiment analysis based on modal information interaction

Cai Yuyang
Meng Zuqiang
School of Computer, Electronics & Information, Guangxi University, Nanning 530004, China
DOI: 10.19734/j.issn.1001-3695.2023.02.0050

Abstract

Coarse-grained attention mechanisms based on global semantic interactions can't effectively use the interconnection between modalities to extract the key parts of modal information, which affects classification results. Aiming at this problem, this paper proposed a modal information interaction model, which extracted the local semantic association features of the modality through a fine-grained attention mechanism and used them for sentiment classification. Firstly, the intra-modal information interaction module constructed intra-modal connections and generated intra-modal interaction features. Then the inter-modal information interaction module used intra-modal information interaction features to generate gating vectors, which focused on the appropriate parts of the text(image), thereby obtaining inter-modal information interaction. Finally, considering the redundant information in the features, the model also added an adaptive feature fusion module to select features from the global feature level, enhanced the expression ability of key features containing emotional information, and weakened the impact of redundant information on classification results. Experimental results on two public datasets MVSA-Single and MVSA-Multi demon-strate that the model outperforms a series of baseline models.

Foundation Support

国家自然科学基金资助项目(62266004)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.02.0050
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 9
Section: Algorithm Research & Explore
Pages: 2603-2608
Serial Number: 1001-3695(2023)09-006-2603-06

Publish History

[2023-04-26] Accepted Paper
[2023-09-05] Printed Article

Cite This Article

蔡宇扬, 蒙祖强. 基于模态信息交互的多模态情感分析 [J]. 计算机应用研究, 2023, 40 (9): 2603-2608. (Cai Yuyang, Meng Zuqiang. Multimodal sentiment analysis based on modal information interaction [J]. Application Research of Computers, 2023, 40 (9): 2603-2608. )

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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