Automatic Keyword Annotation

Automatic Keyword Annotation is a computational method within the field of natural language processing that automatically assigns descriptive keywords to documents by identifying and labeling salient terms or phrases based on linguistic and statistical features.

26

Publications

3.3K

Citations

93

Authors

37

Institutions

Publications per year

2017–2026

2

Authors

93

  1. HS
    Hend S. Al‐Khalifa

    King Saud University, Saudi Arabia

    2 publications · 75 citations

    2

    h-index

  2. ML
    Mingjing Li

    Microsoft Research Asia (China), China

    2 publications · 207 citations

    2

    h-index

  3. HD
    Hugh Davis

    University of Southampton, United Kingdom

    2 publications · 75 citations

    2

    h-index

  4. MA
    Miguel A. Andrade‐Navarro

    Johannes Gutenberg University Mainz, Germany

    1 publications · 217 citations

    1

    h-index

  5. JP
    João P. Neto

    Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento, Portugal

    1 publications · 61 citations

    1

    h-index

1–5 of 93

Venues

  1. Bioinformatics

    4 publications · 438 citations

    4

    h-index

  2. Information Processing & Management

    1 publications · 28 citations

    1

    h-index

  3. The European Physical Journal B

    1 publications · 36 citations

    1

    h-index

  4. 2009 IEEE Conference on Computer Vision and Pattern Recognition

    Conference · 1 publications · 78 citations

    1

    h-index

  5. IEEE Transactions on Image Processing

    1 publications · 110 citations

    1

    h-index

1–5