Hashtag Emotion Analysis

Hashtag Emotion Analysis is a computational method within social media analytics that identifies and quantifies emotional sentiments expressed through hashtags by combining natural language processing with emotion detection techniques to reveal affective patterns in user-generated content.

32

Publications

1.7K

Citations

104

Authors

63

Institutions

Publications per year

2017–2026

27

Publications

32

1–5 of 32

Authors

104

  1. FS
    Francesco Sarracino

    National Research University Higher School of Economics, Russia

    2 publications · 28 citations

    2

    h-index

  2. JC
    Junxiang Chen

    University of Pittsburgh, United States

    2 publications · 400 citations

    2

    h-index

  3. YS
    Yue Su

    Institute of Psychology, Chinese Academy of Sciences, China

    2 publications · 400 citations

    2

    h-index

  4. CZ
    Chengda Zheng

    University of Toronto, Canada

    2 publications · 400 citations

    2

    h-index

  5. CP
    Chiara Peroni

    National Research University Higher School of Economics, Russia

    2 publications · 28 citations

    2

    h-index

1–5 of 104

Venues

  1. Social Media + Society

    1 publications · 17 citations

    2

    h-index

  2. 2

    h-index

  3. SSRN Electronic Journal

    Repository · 2 publications · 33 citations

    2

    h-index

  4. Journal of Medical Internet Research

    1 publications · 384 citations

    1

    h-index

  5. DergiPark (Istanbul University)

    Repository · 1 publications · 12 citations

    1

    h-index

1–5