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

Authors

237

  1. MB
    Marco Baroni

    University of Trento, Italy

    4 publications · 1.1K citations

    4

    h-index

  2. EB
    Elia Bruni

    University of Trento, Italy

    3 publications · 1K citations

    3

    h-index

  3. KL
    Kay L. O’Halloran

    Curtin University, Australia

    3 publications · 248 citations

    3

    h-index

  4. PG
    Patrizia Grifoni

    Institute for Research on Population and Social Policies, Italy

    2 publications · 23 citations

    2

    h-index

  5. AP
    Alexey Podlasov

    National University of Singapore, Singapore

    2 publications · 69 citations

    2

    h-index

1–5 of 237

Venues

  1. 2

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  2. Expert Systems with Applications

    1 publications · 31 citations

    1

    h-index

  3. Cerebral Cortex

    1 publications · 16 citations

    1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 14 citations

    1

    h-index

  5. 1

    h-index

1–5