Keyword Extraction

Keyword Extraction is a natural language processing task that identifies the most salient and representative terms or phrases from a text document, distinguishing it from other text summarization techniques by focusing specifically on isolating significant lexical units rather than generating condensed narrative summaries.

1.3K

Publications

65.5K

Citations

3.6K

Authors

1K

Institutions

Publications per year

2017–2026

424

Authors

3.6K

  1. DK
    Damianos Karakos

    Johns Hopkins University, United States

    8 publications · 262 citations

    8

    h-index

  2. ST
    Stavros Tsakalidis

    RTX (United States), United States

    7 publications · 237 citations

    7

    h-index

  3. EV
    Enrique Vidal

    Universitat Politècnica de València, Spain

    7 publications · 202 citations

    7

    h-index

  4. AH
    Alejandro H. Toselli

    Universitat Politècnica de València, Spain

    7 publications · 202 citations

    7

    h-index

  5. CC
    Cornelia Caragea

    Pennsylvania State University, United States

    7 publications · 686 citations

    7

    h-index

1–5 of 3.6K

Venues

  1. IEEE Access

    21 publications · 567 citations

    16

    h-index

  2. arXiv (Cornell University)

    Repository · 19 publications · 1.7K citations

    16

    h-index

  3. Expert Systems with Applications

    16 publications · 1.3K citations

    14

    h-index

  4. Information Processing & Management

    17 publications · 892 citations

    14

    h-index

  5. Scientometrics

    11 publications · 598 citations

    11

    h-index

1–5