Affirmation Detection

Affirmation Detection is the computational task of identifying and classifying explicitly positive or confirmatory statements within textual data, distinguished from related tasks by its focus on detecting linguistic markers of agreement, validation, or support in contrast to negation, uncertainty, or denial.

3

Publications

360

Citations

15

Authors

10

Institutions

Publications per year

2017–2026

0

Authors

15

  1. WW
    Wendy W. Chapman

    University of Pittsburgh, United States

    1 publications · 42 citations

    1

    h-index

  2. BG
    Bertram Gawronski

    Western University, Canada

    1 publications · 293 citations

    1

    h-index

  3. DL
    Danielle L. Mowery

    University of Pennsylvania, United States

    1 publications · 42 citations

    1

    h-index

  4. HG
    Harriet G. McCombs

    University of South Carolina, United States

    1 publications · 25 citations

    1

    h-index

  5. FS
    Fritz Strack

    University of Würzburg, Germany

    1 publications · 293 citations

    1

    h-index

1–5 of 15

Venues

  1. Artificial Intelligence in Medicine

    AIM · 1 publications · 42 citations

    1

    h-index

  2. Sociological Methods & Research

    SMR · 1 publications · 25 citations

    1

    h-index

  3. Journal of Experimental Social Psychology

    1 publications · 293 citations

    1

    h-index

  4. Green Energy and Intelligent Transportation

    1 publications · 16 citations

1–4