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Multimodal sentiment analysis for social media contents during public emergencies Cover

Multimodal sentiment analysis for social media contents during public emergencies

Journal of Data and Information Science
Volume 8 (2023): Issue 3 (June 2023)
By: Tao Fan,  Hao Wang,  Peng Wu,  Chen Ling and  Milad Taleby Ahvanooey  
Open Access
|Aug 2023

Authors

Tao Fan

School of Information Management, Nanjing University, Nanjing, China
School of Economics and Management, Nanjing University of Science and Technology, Nanjing, China

Hao Wang

ywhaowang@nju.edu.cn

School of Information Management, Nanjing University, Nanjing, China

Peng Wu

School of Economics and Management, Nanjing University of Science and Technology, Nanjing, China

Chen Ling

School of Economics and Management, Nanjing University of Science and Technology, Nanjing, China

Milad Taleby Ahvanooey

School of Information Management, Nanjing University, Nanjing, China
DOI: https://doi.org/10.2478/jdis-2023-0012 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 61 - 87
Submitted on: Nov 7, 2022
Accepted on: May 5, 2023
Published on: Aug 25, 2023
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Public emergency,
Multimodal sentiment analysis,
Social platform,
Textual sentiment analysis,
Visual sentiment analysis
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2023 Tao Fan, Hao Wang, Peng Wu, Chen Ling, Milad Taleby Ahvanooey, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution 4.0 License.

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