Text Mining Visualization

Text Mining Visualization is a visual representation method that transforms and displays patterns, structures, and relationships derived from text mining processes to facilitate the interpretation and analysis of unstructured textual data.

132

Publications

9.9K

Citations

448

Authors

181

Institutions

Publications per year

2017–2026

36

Authors

448

  1. DA
    Daniel A. Keim

    University of Konstanz, Germany

    5 publications · 351 citations

    5

    h-index

  2. MW
    Martin Wattenberg

    IBM (United States), United States

    4 publications · 934 citations

    4

    h-index

  3. JT
    Jun’ichi Tsujii

    The University of Tokyo, Japan

    3 publications · 159 citations

    3

    h-index

  4. SL
    Steffen Lohmann

    University of Stuttgart, Germany

    3 publications · 179 citations

    3

    h-index

  5. SA
    Sophia Ananiadou

    University of Manchester, United Kingdom

    3 publications · 159 citations

    3

    h-index

1–5 of 448

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 10 publications · 1.5K citations

    10

    h-index

  2. Bioinformatics

    4 publications · 195 citations

    4

    h-index

  3. Expert Systems with Applications

    3 publications · 77 citations

    3

    h-index

  4. IEEE Computer Graphics and Applications

    3 publications · 218 citations

    3

    h-index

  5. Computer

    2 publications · 49 citations

    2

    h-index

1–5