Digital Textual Analysis

Digital Textual Analysis is a scholarly methodology within textual studies that systematically examines and interprets textual phenomena through computational tools and digital resources to reveal patterns, structures, and meanings not readily apparent through manual reading.

131

Publications

5.6K

Citations

269

Authors

136

Institutions

Publications per year

2017–2026

39

Authors

269

  1. MJ
    Mark J. Hill

    University of Minnesota, United States

    2 publications · 107 citations

    2

    h-index

  2. DS
    Donald Sturgeon

    Harvard University, United States

    2 publications · 65 citations

    2

    h-index

  3. GC
    Gregory Crane

    Tufts University, United States

    2 publications · 74 citations

    2

    h-index

  4. TL
    Tim Loughran

    University of Notre Dame, United States

    2 publications · 268 citations

    2

    h-index

  5. SO
    Shai Ophir

    1 publications · 13 citations

    1

    h-index

1–5 of 269

Venues

  1. Computers and the Humanities

    4 publications · 85 citations

    4

    h-index

  2. Digital Scholarship in the Humanities

    DSH · 3 publications · 168 citations

    3

    h-index

  3. Literary and Linguistic Computing

    LLC · 3 publications · 116 citations

    3

    h-index

  4. Variants

    2 publications · 41 citations

    2

    h-index

  5. Choice Reviews Online

    CRO · 2 publications · 1.3K citations

    2

    h-index

1–5