Text Feature Analysis

Text Feature Analysis is a methodological approach in discourse studies that systematically examines the structural, linguistic, and rhetorical elements of a text to identify patterns that reveal the author's purpose, distinguishing it from broader content analysis by focusing specifically on salient textual attributes that signify intent.

287

Publications

15.9K

Citations

943

Authors

359

Institutions

Publications per year

2017–2026

148

Authors

943

  1. MA
    Mohammed Azmi Al‐Betar

    Al-Balqa Applied University, Jordan

    4 publications · 288 citations

    4

    h-index

  2. LA
    Laith Abualigah

    Universiti Sains Malaysia, Malaysia

    4 publications · 683 citations

    4

    h-index

  3. JB
    Jill Burstein

    Educational Testing Service, United States

    3 publications · 213 citations

    3

    h-index

  4. AL
    Annie Louis

    University of Pennsylvania, United States

    3 publications · 474 citations

    3

    h-index

  5. SZ
    Shenghan Zhou

    Beihang University, China

    3 publications · 60 citations

    3

    h-index

1–5 of 943

Venues

  1. IEEE Access

    6 publications · 304 citations

    6

    h-index

  2. Expert Systems with Applications

    5 publications · 1K citations

    5

    h-index

  3. arXiv (Cornell University)

    Repository · 5 publications · 1.6K citations

    5

    h-index

  4. Information Processing & Management

    5 publications · 340 citations

    5

    h-index

  5. Applied Soft Computing

    3 publications · 317 citations

    3

    h-index

1–5