Concept Clustering

Concept Clustering is a method in natural language processing that organizes extracted concepts into semantically coherent groups based on their linguistic or contextual similarities.

267

Publications

20.9K

Citations

651

Authors

294

Institutions

Publications per year

2017–2026

36

Authors

651

  1. DF
    Douglas Fisher

    Vanderbilt University, United States

    6 publications · 3K citations

    6

    h-index

  2. RE
    Robert E. Stepp

    University of Illinois Urbana-Champaign, United States

    6 publications · 549 citations

    6

    h-index

  3. AH
    Andreas Hotho

    University of Würzburg, Germany

    5 publications · 228 citations

    5

    h-index

  4. RB
    Radim Bělohlávek

    Palacký University Olomouc, Czechia

    4 publications · 137 citations

    4

    h-index

  5. SS
    Steffen Staab

    University of Koblenz and Landau, Germany

    4 publications · 223 citations

    4

    h-index

1–5 of 651

Venues

  1. Machine Learning

    7 publications · 3.5K citations

    7

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 5 publications · 394 citations

    5

    h-index

  3. 5

    h-index

  4. Information Sciences

    4 publications · 166 citations

    4

    h-index

  5. Information Processing & Management

    4 publications · 210 citations

    4

    h-index

1–5