Opinion Mining

Opinion Mining is a subfield of natural language processing that systematically identifies and extracts subjective information, such as sentiments, attitudes, and emotions, from textual data within social media and other discourse environments.

14.1K

Publications

944.6K

Citations

31.4K

Authors

5K

Institutions

Publications per year

2017–2026

9K

Authors

31.4K

  1. EC
    Erik Cambria

    Nanyang Technological University, Singapore

    112 publications · 20.2K citations

    69

    h-index

  2. BL
    Bing Liu

    University of Illinois Chicago, United States

    62 publications · 28.7K citations

    50

    h-index

  3. SP
    Soujanya Poria

    Nanyang Technological University, Singapore

    46 publications · 9.6K citations

    36

    h-index

  4. JW
    Janyce Wiebe

    University of Pittsburgh, United States

    45 publications · 12.4K citations

    35

    h-index

  5. CC
    Claire Cardie

    Cornell University, United States

    47 publications · 8.1K citations

    34

    h-index

1–5 of 31.4K

Venues

  1. Expert Systems with Applications

    210 publications · 21.3K citations

    78

    h-index

  2. IEEE Access

    347 publications · 21.5K citations

    76

    h-index

  3. Knowledge-Based Systems

    160 publications · 14.8K citations

    66

    h-index

  4. Information Processing & Management

    128 publications · 10.7K citations

    61

    h-index

  5. arXiv (Cornell University)

    Repository · 385 publications · 17.7K citations

    60

    h-index

1–5