Digital Text Analysis

Digital Text Analysis is a computational methodology within cultural analytics that systematically examines digitized textual data through algorithmic, quantitative, and qualitative techniques to uncover patterns, meanings, and structures inherent in cultural texts.

280

Publications

16.6K

Citations

683

Authors

320

Institutions

Publications per year

2017–2026

141

Authors

683

  1. KM
    Kathleen M. Carley

    Carnegie Mellon University, United States

    4 publications · 226 citations

    4

    h-index

  2. RM
    Rao Muhammad Adeel Nawab

    COMSATS University Islamabad, Pakistan

    3 publications · 66 citations

    4

    h-index

  3. EK
    Eric K. Ringger

    Brigham Young University, United States

    3 publications · 65 citations

    3

    h-index

  4. OH
    Oren Halvani

    Fraunhofer Institute for Secure Information Technology, Germany

    3 publications · 64 citations

    3

    h-index

  5. NC
    Nello Cristianini

    University of Bristol, United Kingdom

    3 publications · 194 citations

    3

    h-index

1–5 of 683

Venues

  1. Literary and Linguistic Computing

    LLC · 7 publications · 315 citations

    7

    h-index

  2. IEEE Access

    5 publications · 163 citations

    5

    h-index

  3. Journal of Organizational Behavior

    OB · 4 publications · 160 citations

    4

    h-index

  4. arXiv (Cornell University)

    Repository · 3 publications · 106 citations

    4

    h-index

  5. SSRN Electronic Journal

    Repository · 3 publications · 51 citations

    3

    h-index

1–5