Image Caption Analysis

Image Caption Analysis is a methodological framework within multimodal corpus analysis that systematically examines the linguistic and semiotic alignment between visual content and its associated textual captions to elucidate patterns of meaning construction across modalities.

9

Publications

198

Citations

32

Authors

15

Institutions

Publications per year

2017–2026

5

Authors

32

  1. TK
    Takaya KOJIMA

    The University of Tokyo, Japan

    1 publications · 10 citations

    1

    h-index

  2. RS
    Radu Soricut

    Google (United States), United States

    1 publications · 42 citations

    1

    h-index

  3. YC
    Yejin Choi

    University of Washington, United States

    1 publications · 27 citations

    1

    h-index

  4. KS
    Keisuke Sakaguchi

    Johns Hopkins University, United States

    1 publications · 27 citations

    1

    h-index

  5. NA
    Noah A. Smith

    Carnegie Mellon University, United States

    1 publications · 27 citations

    1

    h-index

1–5 of 32

Venues

  1. 2

    h-index

  2. First Monday

    1 publications · 10 citations

    1

    h-index

  3. Environment and Planning A Economy and Space

    1 publications · 17 citations

    1

    h-index

  4. 1

    h-index

  5. Perspectives

    1 publications · 17 citations

    1

    h-index

1–5