Multimodal Semantic Analysis
Multimodal Semantic Analysis is a systematic framework in multimodal corpus analysis that integrates and interprets meaning across multiple semiotic modes—such as linguistic, visual, auditory, and gestural elements—by identifying and modeling the intermodal relationships and coherence structures that constitute integrated semantic representations.
53
Publications
3.2K
Citations
237
Authors
102
Institutions
Publications per year
2017–2026
29
Parents
53
Detecting Sarcasm in Multimodal Social Platforms
Rossano Schifanella, Paloma de Juan, Joel Tetreault et al. · 2016 · 225 citations · Full text
SemEval 2018 Task 2: Multilingual Emoji Prediction
Francesco Barbieri, José Camacho-Collados, Francesco Ronzano et al. · 2018 · 144 citations · Full text
1–5 of 53
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Institute for Research on Population and Social Policies, Italy
2 publications · 23 citations
2
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2
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1–5 of 237
102

University of Trento
Trento, Italy
5 h-index
13 publications
2.3K citations

Chinese Academy of Sciences
Beijing, China
3 h-index
10 publications
807 citations
National University of Singapore
Singapore, Singapore
3 h-index
6 publications
509 citations
China University of Mining and Technology
Xuzhou, China
2 h-index
3 publications
108 citations

University of Turin
Turin, Italy
2 h-index
4 publications
657 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
7 publications
257 citations

University of Amsterdam
Amsterdam, The Netherlands
2 h-index
3 publications
52 citations
University of Science and Technology of China
Hefei, China
2 h-index
6 publications
196 citations
1–8 of 102
TASLP · 2 publications · 38 citations
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1 publications · 31 citations
1
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1 publications · 16 citations
1
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Repository · 1 publications · 14 citations
1
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Repository · 1 publications · 22 citations
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