Implicit Opinion Detection

Implicit Opinion Detection is a computational task in natural language processing that identifies subjectivity and stance in text where opinions are conveyed indirectly, without explicit sentiment-bearing expressions, thereby distinguishing it from explicit opinion mining by focusing on latent and context-dependent evaluative language.

70

Publications

3.7K

Citations

232

Authors

102

Institutions

Publications per year

2017–2026

35

Authors

232

  1. SW
    Suge Wang

    Shanxi University, China

    3 publications · 125 citations

    3

    h-index

  2. TC
    Tat‐Seng Chua

    National University of Singapore, Singapore

    3 publications · 196 citations

    3

    h-index

  3. JW
    Janyce Wiebe

    University of Pittsburgh, United States

    2 publications · 56 citations

    2

    h-index

  4. JA
    Jisun An

    Hamad bin Khalifa University, Qatar

    2 publications · 235 citations

    2

    h-index

  5. ZZ
    Zheng-Jun Zha

    University of Science and Technology of China, China

    2 publications · 100 citations

    2

    h-index

1–5 of 232

Venues

  1. Knowledge-Based Systems

    4 publications · 182 citations

    4

    h-index

  2. Information Processing & Management

    4 publications · 482 citations

    4

    h-index

  3. 3

    h-index

  4. SN Computer Science

    2 publications · 30 citations

    2

    h-index

  5. Artificial Intelligence Review

    2 publications · 53 citations

    2

    h-index

1–5