MEDT: Using Multimodal Encoding-Decoding Network as in Transformer for Multimodal Sentiment Analysis-Reference-Cited by-同舟云学术

MEDT: Using Multimodal Encoding-Decoding Network as in Transformer for Multimodal Sentiment Analysis

Published:2022 Issue: Volume:10 Page:28750-28759
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Qi Qingfu¹^ORCID,Lin Liyuan¹^ORCID,Zhang Rui¹,Xue Chengrong¹

Affiliation:

1. College of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin, China

Funder

Tianjin Sino-German University of Applied Sciences Technology Project

Tianjin Sino-German University of Applied Sciences Video Image Intelligent Analysis and Processing Technology Innovation Team and Tianjin “131” Innovative Talent Team

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09733279.pdf?arnumber=9733279

Reference26 articles.

1. Multimodal Sentiment Analysis To Explore the Structure of Emotions

2. Dynamic word embeddings;bamler;Proc JMLR,2017

3. Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors

4. Multimodal Transformer for Unaligned Multimodal Language Sequences

5. MOSI: Multimodal corpus of sentiment intensity and subjectivity analysis in online opinion videos;zadeh;CoRR,2016

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