Named Entity Visualization

Named Entity Visualization is a text visualization technique that specifically represents identified named entities—such as persons, organizations, and locations—extracted from textual data, distinguishing it from other text visualization methods by focusing on the graphical depiction of entity types, relationships, and distributions within or across documents.

7

Publications

166

Citations

26

Authors

13

Institutions

Publications per year

2017–2026

2

Authors

26

  1. NP
    Neel Parekh

    Georgia Institute of Technology, United States

    1 publications · 15 citations

    1

    h-index

  2. DJ
    Devina Jain

    University of California, Berkeley, United States

    1 publications · 20 citations

    1

    h-index

  3. EI
    Esko Ikkala

    Finnish Red Cross, Finland

    1 publications · 11 citations

    1

    h-index

  4. PM
    Prasenjit Mitra

    Pennsylvania State University, United States

    1 publications · 18 citations

    1

    h-index

  5. EH
    Eero Hyvönen

    Aalto University, Finland

    1 publications · 11 citations

    1

    h-index

1–5 of 26

Venues

  1. World Patent Information

    1 publications · 20 citations

    1

    h-index

  2. VUBIR (Vrije Universiteit Brussel)

    Repository · 1 publications · 13 citations

    1

    h-index

  3. Informatica (slovenia)

    1 publications · 30 citations

    1

    h-index

1–3