Corpus Visualization

Corpus Visualization is a text visualization method that systematically represents the structural, thematic, or linguistic patterns of an entire corpus to enable macro-level analysis of its collective content.

82

Publications

4.6K

Citations

228

Authors

101

Institutions

Publications per year

2017–2026

21

Authors

228

  1. TB
    Tolga Bolukbasi

    Google (United States), United States

    2 publications · 144 citations

    2

    h-index

  2. DM
    Dunja Mladenić

    Jožef Stefan Institute, Slovenia

    2 publications · 150 citations

    2

    h-index

  3. AM
    Annie Morin

    Centre National de la Recherche Scientifique, France

    2 publications · 28 citations

    2

    h-index

  4. JF
    Jean‐Daniel Fekete

    Institut national de recherche en sciences et technologies du numérique, France

    2 publications · 60 citations

    2

    h-index

  5. MG
    Marko Grobelnik

    Jožef Stefan Institute, Slovenia

    2 publications · 150 citations

    2

    h-index

1–5 of 228

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 7 publications · 386 citations

    8

    h-index

  2. International Journal of Corpus Linguistics

    IJCL · 4 publications · 202 citations

    4

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 30 citations

    2

    h-index

  4. Text and Talk

    2 publications · 31 citations

    2

    h-index

  5. Journal of Computational and Graphical Statistics

    JCGS · 2 publications · 74 citations

    2

    h-index

1–5