Topic Labeling

Topic Labeling is a scholarly method within computational text analysis that identifies and assigns interpretable semantic labels to latent themes discovered through topic modeling algorithms.

195

Publications

10.8K

Citations

632

Authors

257

Institutions

Publications per year

2017–2026

84

Authors

632

  1. SN
    Sharif Naser Makhadmeh

    Ajman University, United Arab Emirates

    3 publications · 62 citations

    3

    h-index

  2. PR
    Philip Resnik

    University of Maryland, College Park, United States

    3 publications · 388 citations

    3

    h-index

  3. JZ
    Jianping Zeng

    Fudan University, China

    3 publications · 57 citations

    3

    h-index

  4. JB
    Jordan Boyd‐Graber

    University of Maryland, College Park, United States

    3 publications · 330 citations

    3

    h-index

  5. MA
    Mohammed Azmi Al‐Betar

    Al-Balqa Applied University, Jordan

    3 publications · 62 citations

    3

    h-index

1–5 of 632

Venues

  1. Neurocomputing

    6 publications · 185 citations

    6

    h-index

  2. Expert Systems with Applications

    5 publications · 188 citations

    5

    h-index

  3. arXiv (Cornell University)

    Repository · 4 publications · 107 citations

    4

    h-index

  4. Knowledge and Information Systems

    4 publications · 211 citations

    4

    h-index

  5. Knowledge-Based Systems

    4 publications · 263 citations

    4

    h-index

1–5