Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 3
716-720

Multimodal sentiment analysis based on hybrid feature fusion of multi-level attention mechanism and multi-task learning

Song Yunfeng
Ren Ge
Yang Yong
Fan Xiaochao
School of Computer Science & Technology, Xinjiang Normal University, Urumqi 830054, China
DOI: 10.19734/j.issn.1001-3695.2021.08.0357

Abstract

Aiming at the problem of intra-modality feature representation and inter modality feature fusion in multimodal sentiment analysis, this paper proposed a multi-level hybrid fusion multi-modal sentiment analysis model based on attention mechanism and multi-task learning. Firstly, the model used convolution neural network and bi-directional gated unit to extract the single-modality internal feature. Secondly, it used the cross-modality attention mechanism to realize the pairwise feature fusion between modalities. Thirdly, it used the self-attention mechanism to select the modality contribution at different levels. Finally, combining with multi-task learning, the model obtained both sentiment and emotion classification results. The experimental results on CMU-MOSEI dataset show that this method can improve the accuracy and F1-score of sentiment and emotion classification.

Foundation Support

新疆维吾尔自治区自然科学基金资助项目(2021D01B72)
国家自然科学基金资助项目(62066044)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.08.0357
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 3
Section: Algorithm Research & Explore
Pages: 716-720
Serial Number: 1001-3695(2022)03-012-0716-05

Publish History

[2021-11-29] Accepted Paper
[2022-03-05] Printed Article

Cite This Article

宋云峰, 任鸽, 杨勇, 等. 基于注意力的多层次混合融合的多任务多模态情感分析 [J]. 计算机应用研究, 2022, 39 (3): 716-720. (Song Yunfeng, Ren Ge, Yang Yong, et al. Multimodal sentiment analysis based on hybrid feature fusion of multi-level attention mechanism and multi-task learning [J]. Application Research of Computers, 2022, 39 (3): 716-720. )

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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