Unsupervised Keyword Extraction

Unsupervised Keyword Extraction is a keyword extraction method that operates without labeled training data, distinguishing itself from supervised approaches by relying solely on statistical and structural properties of text to identify salient terms.

47

Publications

1.9K

Citations

132

Authors

55

Institutions

Publications per year

2017–2026

23

Authors

132

  1. RR
    Rajiv Ratn Shah

    Indraprastha Institute of Information Technology Delhi, India

    2 publications · 28 citations

    2

    h-index

  2. YC
    Yun-Nung Chen

    National Taiwan University, Taiwan

    2 publications · 47 citations

    2

    h-index

  3. XL
    Xiao Luo

    Indiana University – Purdue University Indianapolis, United States

    2 publications · 61 citations

    2

    h-index

  4. MA
    Mohammed Al-Dhelaan

    King Saud University, Saudi Arabia

    2 publications · 100 citations

    2

    h-index

  5. SB
    Slobodan Beliga

    University of Rijeka, Croatia

    2 publications · 203 citations

    2

    h-index

1–5 of 132

Venues

  1. IEEE Access

    3 publications · 89 citations

    3

    h-index

  2. Expert Systems with Applications

    1 publications · 24 citations

    1

    h-index

  3. arXiv (Cornell University)

    Repository · 1 publications · 22 citations

    1

    h-index

  4. Personal and Ubiquitous Computing

    1 publications · 19 citations

    1

    h-index

  5. 1

    h-index

1–5