Subjectivity Detection

Subjectivity Detection is a computational task in natural language processing that identifies whether a given text expresses subjective opinions or objective facts by distinguishing personal beliefs, emotions, or perspectives from verifiable information.

194

Publications

19.7K

Citations

473

Authors

195

Institutions

Publications per year

2017–2026

53

Authors

473

  1. JW
    Janyce Wiebe

    University of Pittsburgh, United States

    20 publications · 5.2K citations

    20

    h-index

  2. RM
    Rada Mihalcea

    University of Michigan, United States

    9 publications · 814 citations

    9

    h-index

  3. MA
    Muhammad Abdul-Mageed

    University of British Columbia, Canada

    8 publications · 986 citations

    8

    h-index

  4. TW
    Theresa Wilson

    University of Pittsburgh, United States

    8 publications · 2.8K citations

    8

    h-index

  5. AM
    Andrés Montoyo

    University of Alicante, Spain

    7 publications · 531 citations

    7

    h-index

1–5 of 473

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 518 citations

    8

    h-index

  2. Meeting of the Association for Computational Linguistics

    Conference · 4 publications · 333 citations

    4

    h-index

  3. Computer Speech & Language

    3 publications · 394 citations

    3

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 163 citations

    3

    h-index

  5. IEEE Transactions on Affective Computing

    TAC · 2 publications · 67 citations

    2

    h-index

1–5