Aspect Extraction

Aspect Extraction is a subtask of information extraction that identifies and categorizes specific attributes or features of entities in text, distinguishing it from broader information extraction tasks by focusing on fine-grained opinion or sentiment targets rather than general entity or relation detection.

1K

Publications

68.3K

Citations

2.8K

Authors

812

Institutions

Publications per year

2017–2026

739

Authors

2.8K

  1. BL
    Bing Liu

    University of Illinois Chicago, United States

    16 publications · 2.3K citations

    14

    h-index

  2. MA
    Mohammad AL-Smadi

    Jordan University of Science and Technology, Jordan

    13 publications · 2.5K citations

    13

    h-index

  3. EC
    Erik Cambria

    Nanyang Technological University, Singapore

    14 publications · 2.9K citations

    13

    h-index

  4. LB
    Lidong Bing

    Chinese University of Hong Kong, Hong Kong SAR China

    14 publications · 3.3K citations

    13

    h-index

  5. WW
    Wenya Wang

    Nanyang Technological University, Singapore

    10 publications · 1.1K citations

    10

    h-index

1–5 of 2.8K

Venues

  1. Knowledge-Based Systems

    44 publications · 4.1K citations

    34

    h-index

  2. IEEE Access

    39 publications · 1.9K citations

    29

    h-index

  3. Neurocomputing

    31 publications · 1.5K citations

    25

    h-index

  4. arXiv (Cornell University)

    Repository · 39 publications · 1.9K citations

    23

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 20 publications · 3K citations

    19

    h-index

1–5