Sentiment Classification

Sentiment Classification is a computational task within natural language processing that categorizes subjective expressions in text into predefined sentiment polarities, distinguishing it from related tasks by its focus on assigning overall sentiment labels to entire textual units.

7.3K

Publications

540.2K

Citations

17.4K

Authors

3.4K

Institutions

Publications per year

2017–2026

4.9K

Authors

17.4K

  1. EC
    Erik Cambria

    Nanyang Technological University, Singapore

    69 publications · 11.6K citations

    45

    h-index

  2. PB
    Pushpak Bhattacharyya

    Indian Institute of Technology Bombay, India

    42 publications · 2.2K citations

    29

    h-index

  3. SL
    Shoushan Li

    Soochow University, China

    30 publications · 2.3K citations

    25

    h-index

  4. SM
    Saif M. Mohammad

    National Research Council Canada, Canada

    25 publications · 4.6K citations

    21

    h-index

  5. AH
    Amir Hussain

    Edinburgh Napier University, United Kingdom

    25 publications · 2.4K citations

    20

    h-index

1–5 of 17.4K

Venues

  1. IEEE Access

    241 publications · 16.3K citations

    68

    h-index

  2. arXiv (Cornell University)

    Repository · 243 publications · 16.6K citations

    56

    h-index

  3. Knowledge-Based Systems

    89 publications · 10.3K citations

    55

    h-index

  4. Expert Systems with Applications

    98 publications · 12.6K citations

    53

    h-index

  5. Procedia Computer Science

    85 publications · 6.6K citations

    44

    h-index

1–5