Visualization Of Text Corpora

Visualization of Text Corpora is a computational method that graphically represents large-scale textual data to reveal structural, thematic, or relational patterns inherent in the corpus, distinguishing it from qualitative close reading by enabling macro-level analysis through visual abstraction.

108

Publications

6.2K

Citations

330

Authors

141

Institutions

Publications per year

2017–2026

29

Authors

330

  1. DA
    Daniel A. Keim

    University of Konstanz, Germany

    4 publications · 155 citations

    4

    h-index

  2. JJ
    J. Joshua Thomas

    Pacific Northwest National Laboratory, United States

    3 publications · 791 citations

    3

    h-index

  3. BG
    Baining Guo

    Microsoft Research Asia (China), China

    2 publications · 187 citations

    2

    h-index

  4. EJ
    Ellen Jiang

    Google (United States), United States

    2 publications · 144 citations

    2

    h-index

  5. CS
    Charles Sutton

    University of Edinburgh, United Kingdom

    2 publications · 60 citations

    2

    h-index

1–5 of 330

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 8 publications · 647 citations

    9

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 824 citations

    4

    h-index

  3. Journal of Biomedical Informatics

    2 publications · 42 citations

    2

    h-index

  4. International Journal of Corpus Linguistics

    IJCL · 2 publications · 45 citations

    2

    h-index

  5. Corpora

    2 publications · 41 citations

    2

    h-index

1–5