Multimodal Content Analysis
Multimodal Content Analysis is a computational methodology that integrates and interprets multiple forms of data—such as text, audio, visual, and sensory inputs—within a unified analytical framework to derive meaning, patterns, or insights from heterogeneous content sources.
179
Publications
9.8K
Citations
530
Authors
240
Institutions
Publications per year
2017–2026
96
Parents
179
The Routledge Handbook of Multimodal Analysis
Charles Forceville · Journal of Pragmatics · 2010 · 1.7K citations
pyAudioAnalysis: An Open-Source Python Library for Audio Signal Analysis
1–5 of 179
530
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Indraprastha Institute of Information Technology Delhi, India
3 publications · 112 citations
3
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3
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2
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1–5 of 530
240
National University of Singapore
Singapore, Singapore
6 h-index
12 publications
1.1K citations
University of Southern California
Los Angeles, United States
6 h-index
19 publications
738 citations

Delhi Technological University
New Delhi, India
4 h-index
6 publications
392 citations

Indraprastha Institute of Information Technology Delhi
Delhi, India
4 h-index
9 publications
357 citations

Cornell University
Ithaca, United States
3 h-index
7 publications
121 citations

Universitat Autònoma de Barcelona
Cerdanyola del Vallès, Spain
3 h-index
4 publications
377 citations
Curtin University
Perth, Australia
3 h-index
10 publications
855 citations

University of Amsterdam
Amsterdam, The Netherlands
3 h-index
3 publications
2K citations
1–8 of 240
5 publications · 2K citations
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4 publications · 256 citations
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4 publications · 215 citations
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4 publications · 57 citations
4
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3 publications · 254 citations
3
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1–5