Event-level Sentiment Analysis

Event-Level Sentiment Analysis is a type of sentiment analysis that identifies and classifies sentiments expressed toward specific events or event instances, distinguishing itself from document- or sentence-level approaches by focusing on sentiment targets defined as temporally grounded occurrences with associated participants, time, and location.

64

Publications

5.4K

Citations

218

Authors

119

Institutions

Publications per year

2017–2026

33

Authors

218

  1. LD
    Lingjia Deng

    University of Pittsburgh, United States

    4 publications · 316 citations

    4

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  2. JW
    Janyce Wiebe

    University of Pittsburgh, United States

    4 publications · 316 citations

    4

    h-index

  3. SA
    Sitara Afzal

    Sejong University, South Korea

    2 publications · 201 citations

    2

    h-index

  4. IM
    Irfan Mehmood

    Sejong University, South Korea

    2 publications · 195 citations

    2

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  5. JN
    Jeffrey Nichols

    Carnegie Mellon University, United States

    2 publications · 57 citations

    2

    h-index

1–5 of 218

Venues

  1. IEEE Access

    5 publications · 398 citations

    5

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  2. 2

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  3. Expert Systems with Applications

    2 publications · 120 citations

    2

    h-index

  4. 2

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  5. Computers in Human Behavior

    2 publications · 453 citations

    2

    h-index

1–5