Linguistic Feature Analysis

Linguistic Feature Analysis is a methodological framework within computational linguistics that identifies and quantifies distinctive patterns in lexical, syntactic, semantic, and pragmatic elements of text to differentiate misinformation from credible information based on characteristic linguistic cues.

491

Publications

35.1K

Citations

1.4K

Authors

575

Institutions

Publications per year

2017–2026

216

Authors

1.4K

  1. BW
    Björn W. Schuller

    Imperial College London, United Kingdom

    10 publications · 1K citations

    10

    h-index

  2. AB
    Anton Batliner

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    5 publications · 465 citations

    5

    h-index

  3. AB
    Alice Baird

    Imperial College London, United Kingdom

    5 publications · 465 citations

    5

    h-index

  4. FR
    Frank Rudzicz

    University of Toronto, Canada

    5 publications · 904 citations

    5

    h-index

  5. CB
    Christian Bergler

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    4 publications · 222 citations

    4

    h-index

1–5 of 1.4K

Venues

  1. arXiv (Cornell University)

    Repository · 13 publications · 1.6K citations

    11

    h-index

  2. IEEE Access

    8 publications · 354 citations

    7

    h-index

  3. Procedia Computer Science

    5 publications · 204 citations

    5

    h-index

  4. PLoS ONE

    4 publications · 221 citations

    4

    h-index

  5. Expert Systems with Applications

    4 publications · 516 citations

    4

    h-index

1–5