Text Analytics

Text analytics is a data analytical method that systematically extracts meaningful insights and patterns from unstructured textual data through computational and linguistic processing techniques.

28.8K

Publications

2M

Citations

56.6K

Authors

7.2K

Institutions

Publications per year

2017–2026

13.3K

Authors

56.6K

  1. DR
    Dragomir Radev

    University of Michigan, United States

    65 publications · 7.9K citations

    42

    h-index

  2. CZ
    ChengXiang Zhai

    University of Illinois Urbana-Champaign, United States

    65 publications · 10.2K citations

    40

    h-index

  3. JH
    Jiawei Han

    University of Illinois Urbana-Champaign, United States

    89 publications · 6.5K citations

    40

    h-index

  4. WB
    W. Bruce Croft

    University of Massachusetts Amherst, United States

    56 publications · 8.5K citations

    39

    h-index

  5. EC
    Erik Cambria

    Nanyang Technological University, Singapore

    53 publications · 9.2K citations

    39

    h-index

1–5 of 56.6K

Venues

  1. arXiv (Cornell University)

    Repository · 954 publications · 65K citations

    94

    h-index

  2. Expert Systems with Applications

    324 publications · 26.2K citations

    86

    h-index

  3. Information Processing & Management

    309 publications · 25.6K citations

    81

    h-index

  4. IEEE Access

    396 publications · 20.9K citations

    69

    h-index

  5. 65

    h-index

1–5

See also

Text Analytics

Core Methods

Applications

Evaluation

Limitations

Data Sources