Attitude Detection

Attitude Detection is a computational task within natural language processing that identifies and classifies subjective expressions in text according to the writer's evaluative stance, distinguishing itself from related sentiment analysis tasks by focusing specifically on the detection of explicit and implicit attitudinal predicates and their associated targets.

104

Publications

4.3K

Citations

359

Authors

151

Institutions

Publications per year

2017–2026

65

Authors

359

  1. PW
    Penghui Wei

    Chinese Academy of Sciences, China

    3 publications · 128 citations

    3

    h-index

  2. WM
    Wenji Mao

    University of Chinese Academy of Sciences, China

    3 publications · 128 citations

    3

    h-index

  3. DR
    Dragomir Radev

    University of Michigan, United States

    3 publications · 236 citations

    3

    h-index

  4. KB
    Kalina Bontcheva

    University of Sheffield, United Kingdom

    3 publications · 124 citations

    3

    h-index

  5. MX
    Michelle X. Zhou

    IBM (United States), United States

    2 publications · 46 citations

    2

    h-index

1–5 of 359

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 77 citations

    4

    h-index

  2. IEEE Access

    3 publications · 53 citations

    3

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 123 citations

    2

    h-index

  4. Journal of Guidance Control and Dynamics

    2 publications · 31 citations

    2

    h-index

  5. Information Processing & Management

    1 publications · 268 citations

    1

    h-index

1–5