Sentiment Analysis

Sentiment Analysis is a subfield of Natural Language Processing and Text Analytics that computationally identifies, classifies, and quantifies the evaluative polarity and affective stance expressed in natural language data toward specific entities, aspects, or topics.

17.9K

Publications

1.2M

Citations

37K

Authors

5.6K

Institutions

Publications per year

2017–2026

12.4K

Authors

37K

  1. EC
    Erik Cambria

    Nanyang Technological University, Singapore

    145 publications · 22.5K citations

    76

    h-index

  2. BL
    Bing Liu

    University of Illinois Chicago, United States

    53 publications · 26.8K citations

    45

    h-index

  3. SP
    Soujanya Poria

    Nanyang Technological University, Singapore

    53 publications · 10.6K citations

    39

    h-index

  4. PB
    Pushpak Bhattacharyya

    Indian Institute of Technology Bombay, India

    73 publications · 4.1K citations

    36

    h-index

  5. SM
    Saif M. Mohammad

    National Research Council Canada, Canada

    47 publications · 10.8K citations

    34

    h-index

1–5 of 37K

Venues

  1. Expert Systems with Applications

    264 publications · 26.6K citations

    88

    h-index

  2. arXiv (Cornell University)

    Repository · 566 publications · 41.8K citations

    86

    h-index

  3. IEEE Access

    420 publications · 26.6K citations

    86

    h-index

  4. Information Processing & Management

    172 publications · 13.9K citations

    74

    h-index

  5. Knowledge-Based Systems

    194 publications · 17.5K citations

    70

    h-index

1–5