Text-based Product Classification

Text-Based Product Classification is a computational methodology within product classification that systematically categorizes products based on textual data attributes, distinguished by its reliance solely on natural language inputs such as product descriptions, reviews, or specifications to infer categorical assignments.

65

Publications

3.4K

Citations

217

Authors

99

Institutions

Publications per year

2017–2026

44

Authors

217

  1. ES
    Ellen Schulten

    Vrije Universiteit Amsterdam, Netherlands

    3 publications · 96 citations

    3

    h-index

  2. GD
    Giuseppe Di Fabbrizio

    AT&T (United States), United States

    2 publications · 36 citations

    2

    h-index

  3. AD
    Ankur Datta

    Carnegie Mellon University, United States

    2 publications · 36 citations

    2

    h-index

  4. NG
    Nicola Guarino

    National Academies of Sciences, Engineering, and Medicine, United States

    2 publications · 57 citations

    2

    h-index

  5. BY
    Byungun Yoon

    Dongguk University, South Korea

    2 publications · 198 citations

    2

    h-index

1–5 of 217

Venues

  1. Decision Support Systems

    4 publications · 199 citations

    4

    h-index

  2. Electronic Commerce Research

    3 publications · 65 citations

    3

    h-index

  3. Expert Systems with Applications

    3 publications · 144 citations

    3

    h-index

  4. 2

    h-index

  5. Journal of Business Research

    JBR · 2 publications · 220 citations

    2

    h-index

1–5