Affective Annotation

Affective Annotation is a scholarly contribution in the field of affective computing in education that involves the systematic labeling of emotional or affective states within educational data to enable the development and validation of models that interpret learners' emotions in context-specific learning environments.

143

Publications

13.1K

Citations

356

Authors

144

Institutions

Publications per year

2017–2026

52

Authors

356

  1. DD
    Dipankar Das

    Jadavpur University, India

    6 publications · 411 citations

    6

    h-index

  2. SM
    Saif M. Mohammad

    National Research Council Canada, Canada

    5 publications · 3.6K citations

    5

    h-index

  3. SB
    Sivaji Bandyopadhyay

    Jadavpur University, India

    5 publications · 395 citations

    5

    h-index

  4. CB
    Carlos Busso

    The University of Texas at Dallas, United States

    5 publications · 282 citations

    5

    h-index

  5. CS
    Carlo Strapparava

    Fondazione Bruno Kessler, Italy

    4 publications · 1.7K citations

    4

    h-index

1–5 of 356

Venues

  1. IEEE Transactions on Affective Computing

    TAC · 7 publications · 679 citations

    7

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 131 citations

    4

    h-index

  3. IEEE Transactions on Multimedia

    3 publications · 165 citations

    3

    h-index

  4. Multimedia Tools and Applications

    3 publications · 90 citations

    3

    h-index

  5. Computational Intelligence

    2 publications · 2.6K citations

    2

    h-index

1–5