Text Normalization

Text Normalization is a preprocessing technique in text analytics that standardizes textual variations into a common form to enable consistent analysis.

876

Publications

56.7K

Citations

2.3K

Authors

822

Institutions

Publications per year

2017–2026

286

Authors

2.3K

  1. LL
    Loet Leydesdorff

    University of Amsterdam, Netherlands

    11 publications · 733 citations

    11

    h-index

  2. LB
    Lutz Bornmann

    Max Planck Society, Germany

    11 publications · 691 citations

    11

    h-index

  3. RS
    Richard Sproat

    AT&T (United States), United States

    8 publications · 666 citations

    8

    h-index

  4. YL
    Yang Liu

    Nanyang Technological University, Singapore

    8 publications · 361 citations

    8

    h-index

  5. RV
    Rob van der Goot

    University of Groningen, Netherlands

    7 publications · 143 citations

    7

    h-index

1–5 of 2.3K

Venues

  1. Expert Systems with Applications

    22 publications · 2.4K citations

    18

    h-index

  2. Scientometrics

    19 publications · 1.1K citations

    16

    h-index

  3. arXiv (Cornell University)

    Repository · 23 publications · 618 citations

    15

    h-index

  4. Information Processing & Management

    16 publications · 1.9K citations

    15

    h-index

  5. Journal of Informetrics

    17 publications · 882 citations

    15

    h-index

1–5