Semantic Orientation Detection

Semantic Orientation Detection is a computational method in sentiment analysis that identifies the polarity of textual content by determining the degree to which lexical items or expressions convey positive or negative connotations relative to a given context.

54

Publications

6K

Citations

137

Authors

61

Institutions

Publications per year

2017–2026

6

Variants

Sentiment Orientation Detection

Authors

137

  1. ST
    Songbo Tan

    Chinese Academy of Sciences, China

    3 publications · 65 citations

    3

    h-index

  2. ML
    Michael L. Littman

    Rutgers, The State University of New Jersey, United States

    3 publications · 2.1K citations

    3

    h-index

  3. PD
    Peter D. Turney

    National Research Council Canada, Canada

    3 publications · 2.1K citations

    3

    h-index

  4. WD
    Weifu Du

    Institute of Computing Technology, China

    3 publications · 65 citations

    3

    h-index

  5. TI
    Takashi Inui

    Tokyo Institute of Technology, Japan

    2 publications · 507 citations

    2

    h-index

1–5 of 137

Venues

  1. ArXiv.org

    Repository · 3 publications · 576 citations

    3

    h-index

  2. Zhongwen xinxi xuebao

    2 publications · 57 citations

    2

    h-index

  3. Expert Systems with Applications

    2 publications · 111 citations

    2

    h-index

  4. Informatics

    1 publications · 38 citations

    1

    h-index

  5. 1

    h-index

1–5