Polarity Detection

Polarity Detection is a computational task in natural language processing that identifies the affective orientation of a text, distinguishing between positive, negative, and neutral sentiments as its primary classification objective.

2.1K

Publications

173.5K

Citations

5.6K

Authors

1.6K

Institutions

Publications per year

2017–2026

1.1K

Authors

5.6K

  1. EC
    Erik Cambria

    Nanyang Technological University, Singapore

    33 publications · 6.7K citations

    26

    h-index

  2. PB
    Pushpak Bhattacharyya

    Indian Institute of Technology Bombay, India

    16 publications · 859 citations

    15

    h-index

  3. MT
    María Teresa Martín Valdivia

    Universidad de Jaén, Spain

    14 publications · 692 citations

    14

    h-index

  4. EM
    Eugenio Martínez‐Cámara

    Universidad de Granada, Spain

    13 publications · 546 citations

    13

    h-index

  5. SM
    Saif M. Mohammad

    National Research Council Canada, Canada

    13 publications · 3.2K citations

    13

    h-index

1–5 of 5.6K

Venues

  1. Knowledge-Based Systems

    45 publications · 5.6K citations

    36

    h-index

  2. IEEE Access

    42 publications · 2.9K citations

    28

    h-index

  3. Expert Systems with Applications

    29 publications · 3.1K citations

    25

    h-index

  4. arXiv (Cornell University)

    Repository · 49 publications · 3.1K citations

    24

    h-index

  5. International Journal of Computer Applications

    25 publications · 1.7K citations

    20

    h-index

1–5