Temporal Sentiment Analysis

Temporal Sentiment Analysis is a subfield of sentiment analysis that focuses on detecting and modeling the evolution of sentiments over time within textual data, distinguishing itself by incorporating temporal dynamics to capture how opinions and emotions change across specific time intervals.

187

Publications

11K

Citations

654

Authors

318

Institutions

Publications per year

2017–2026

128

Authors

654

  1. MT
    Mikalai Tsytsarau

    University of Trento, Italy

    3 publications · 117 citations

    3

    h-index

  2. TP
    Themis Palpanas

    Université Paris Cité, France

    3 publications · 117 citations

    3

    h-index

  3. UD
    Umeshwar Dayal

    Hewlett-Packard (United States), United States

    2 publications · 118 citations

    2

    h-index

  4. ND
    Nicholas Diakopoulos

    Northwestern University, United States

    2 publications · 506 citations

    2

    h-index

  5. AA
    AmirAli Abdolrashidi

    University of California, Riverside, United States

    2 publications · 111 citations

    2

    h-index

1–5 of 654

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 268 citations

    8

    h-index

  2. IEEE Access

    8 publications · 326 citations

    8

    h-index

  3. PLoS ONE

    8 publications · 424 citations

    8

    h-index

  4. 6

    h-index

  5. Journal of Medical Internet Research

    5 publications · 392 citations

    5

    h-index

1–5