Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis-Reference-Cited by-同舟云学术

Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis

Published:2021-10-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 International Conference on Multimodal Interaction
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Author:

Han Wei¹,Chen Hui¹,Gelbukh Alexander²,Zadeh Amir³,Morency Louis-philippe³,Poria Soujanya⁴

Affiliation:

1. Information Systems Technology and Design, Singapore University of Technology and Design, Singapore

2. Centro de Investigación en Computación, Instituto Politécnico Nacional, Mexico

3. Language Technologies Institute, Carnegie Mellon University, USA

4. Singapore University of Technology and Design, Singapore

Funder

MOE Tier 1

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3462244.3479919

Reference48 articles.

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2. OpenFace: An open source facial behavior analysis toolkit

3. Multimodal Learning Analytics and Education Data Mining: using computational technologies to measure complex learning tasks

4. Feiyang Chen Ziqian Luo Yanyan Xu and Dengfeng Ke. 2019. Complementary Fusion of Multi-Features and Multi-Modalities in Sentiment Analysis. arXiv preprint arXiv:1904.08138(2019). http://ceur-ws.org/Vol-2614/AffCon20_session1_complementary.pdf Feiyang Chen Ziqian Luo Yanyan Xu and Dengfeng Ke. 2019. Complementary Fusion of Multi-Features and Multi-Modalities in Sentiment Analysis. arXiv preprint arXiv:1904.08138(2019). http://ceur-ws.org/Vol-2614/AffCon20_session1_complementary.pdf

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