Document Classification

Document Classification is a text mining task that involves assigning one or more predefined categories or labels to an entire document based on its content, structure, or metadata, distinguishing it from token- or sentence-level classification by operating at the highest granularity of document-wide semantic interpretation.

2K

Publications

169.1K

Citations

5.1K

Authors

1.5K

Institutions

Publications per year

2017–2026

647

Authors

5.1K

  1. MA
    Marcos André Gonçalves

    Universidade Federal de Minas Gerais, Brazil

    16 publications · 599 citations

    14

    h-index

  2. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    11 publications · 1.5K citations

    11

    h-index

  3. JH
    Jiawei Han

    University of Illinois Urbana-Champaign, United States

    14 publications · 664 citations

    11

    h-index

  4. QY
    Qiang Yang

    Hong Kong University of Science and Technology, Hong Kong SAR China

    9 publications · 708 citations

    9

    h-index

  5. WL
    Wai Lam

    Chinese University of Hong Kong, Hong Kong SAR China

    9 publications · 493 citations

    9

    h-index

1–5 of 5.1K

Venues

  1. arXiv (Cornell University)

    Repository · 66 publications · 5.2K citations

    28

    h-index

  2. Expert Systems with Applications

    31 publications · 3.4K citations

    24

    h-index

  3. Information Processing & Management

    28 publications · 2.2K citations

    19

    h-index

  4. IEEE Access

    20 publications · 777 citations

    16

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 17 publications · 1.5K citations

    16

    h-index

1–5