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.
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2017–2026
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Text mining for product attribute extraction
Rayid Ghani, Katharina Probst, Yan Liu et al. · ACM SIGKDD Explorations Newsletter · 2006 · 241 citations
Ana-Maria Popescu, Bao Nguyen, Oren Etzioni · 2005 · 121 citations · Full text
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National Academies of Sciences, Engineering, and Medicine, United States
2 publications · 57 citations
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Pennsylvania State University
State College, United States
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3 publications
326 citations
Rakuten (Japan)
Tokyo, Japan
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2 publications
52 citations
Rakuten (United States)
San Diego, United States
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11 publications
204 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
2 publications
273 citations

Korea Institute of Science & Technology Information
Daejeon, South Korea
2 h-index
2 publications
443 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
4 publications
128 citations

Dongguk University
Seoul, South Korea
2 h-index
5 publications
479 citations
National University of Singapore
Singapore, Singapore
2 h-index
5 publications
110 citations
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3 publications · 65 citations
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3 publications · 144 citations
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Conference · 2 publications · 45 citations
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JBR · 2 publications · 220 citations
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