Multi-label Text Classification

Multi-Label Text Classification is a text classification task in which each document is assigned a subset of multiple non-exclusive labels from a predefined label set, distinguishing it from single-label classification by allowing multiple concurrent category memberships.

745

Publications

46.3K

Citations

2.4K

Authors

769

Institutions

Publications per year

2017–2026

499

Authors

2.4K

  1. GT
    Grigorios Tsoumakas

    Aristotle University of Thessaloniki, Greece

    10 publications · 4.4K citations

    10

    h-index

  2. LJ
    Liping Jing

    Beijing Jiaotong University, China

    8 publications · 387 citations

    8

    h-index

  3. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    8 publications · 456 citations

    8

    h-index

  4. WC
    Wei-Cheng Chang

    Carnegie Mellon University, United States

    7 publications · 1K citations

    7

    h-index

  5. LX
    Lin Xiao

    Beijing Jiaotong University, China

    7 publications · 374 citations

    7

    h-index

1–5 of 2.4K

Venues

  1. arXiv (Cornell University)

    Repository · 55 publications · 2.4K citations

    26

    h-index

  2. Neurocomputing

    23 publications · 1.3K citations

    20

    h-index

  3. Expert Systems with Applications

    17 publications · 1.1K citations

    17

    h-index

  4. Pattern Recognition

    17 publications · 1.9K citations

    16

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 16 publications · 1.6K citations

    16

    h-index

1–5