Text Analytics For Feedback

Text Analytics for Feedback is a computational method that systematically extracts, interprets, and structures meaningful patterns from unstructured customer feedback text to support decision-making in Customer Feedback Management.

32

Publications

1.6K

Citations

114

Authors

48

Institutions

Publications per year

2017–2026

18

Authors

114

  1. VS
    Venky Shankararaman

    Singapore Management University, Singapore

    2 publications · 101 citations

    2

    h-index

  2. MB
    Mohammed Bahja

    University of Birmingham, United Kingdom

    2 publications · 73 citations

    2

    h-index

  3. SG
    Swapna Gottipati

    Singapore Management University, Singapore

    2 publications · 101 citations

    2

    h-index

  4. SB
    Scott Bucking

    Carleton University, Canada

    1 publications · 16 citations

    1

    h-index

  5. MZ
    Mohamed Zaki

    University of Cambridge, United Kingdom

    1 publications · 185 citations

    1

    h-index

1–5 of 114

Venues

  1. Research and Practice in Technology Enhanced Learning

    RPTEL · 1 publications · 72 citations

    1

    h-index

  2. Marketing Science

    1 publications · 357 citations

    1

    h-index

  3. Journal of Health Organization and Management

    1 publications · 27 citations

    1

    h-index

  4. Communications of the ACM

    1 publications · 48 citations

    1

    h-index

  5. Public Administration

    1 publications · 46 citations

    1

    h-index

1–5