Semantic Document Clustering

Semantic Document Clustering is a document clustering approach that organizes text documents into coherent groups based on the underlying meaning and contextual relationships of their content, rather than solely on surface-level lexical or syntactic features.

79

Publications

3.3K

Citations

195

Authors

93

Institutions

Publications per year

2017–2026

24

Variants

Semantic Text Clustering

Authors

195

  1. KJ
    Karwan Jacksi

    University of Zakho, Iraq

    6 publications · 216 citations

    6

    h-index

  2. SR
    Subhi R. M. Zeebaree

    Duhok Polytechnic University, Iraq

    4 publications · 175 citations

    4

    h-index

  3. RN
    Richi Nayak

    Queensland University of Technology, Australia

    3 publications · 105 citations

    3

    h-index

  4. AT
    Andrea Tagarelli

    University of Calabria, Italy

    3 publications · 105 citations

    3

    h-index

  5. WS
    Wei Song

    North China University of Technology, China

    2 publications · 101 citations

    2

    h-index

1–5 of 195

Venues

  1. Knowledge-Based Systems

    4 publications · 151 citations

    4

    h-index

  2. Knowledge and Information Systems

    3 publications · 151 citations

    3

    h-index

  3. Information Sciences

    2 publications · 111 citations

    2

    h-index

  4. Expert Systems with Applications

    2 publications · 242 citations

    2

    h-index

  5. Intelligent Data Analysis

    IDA · 2 publications · 70 citations

    2

    h-index

1–5