Attribute Embedding: Learning Hierarchical Representations of Product Attributes from Consumer Revie...
Attribute Embedding: Learning Hierarchical Representations of Product Attributes from Consumer Reviews
About this item
Full title
Author / Creator
Publisher
Los Angeles, CA: SAGE Publications
Journal title
Language
English
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Publication information
Publisher
Los Angeles, CA: SAGE Publications
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Scope and Contents
Contents
Sales, product design, and engineering teams benefit immensely from better understanding customer perspectives. How do customers combine a product's technical specifications (i.e., engineered attributes) to form abstract product benefits (i.e., meta-attributes)? To address this question, the authors use machine learning and natural language process...
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Full title
Attribute Embedding: Learning Hierarchical Representations of Product Attributes from Consumer Reviews
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2724852511
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2724852511
Other Identifiers
ISSN
0022-2429
E-ISSN
1547-7185
DOI
10.1177/00222429211047822
