Analyzing the discriminative attributes of products using text mining focused on cosmetic reviews

•Text mining for online reviews analyzed customer preferences for detailed attributes of products.•We calculated the percentage of words in a review and extracted the discriminative attributes of competitors' products.•We analyzed the attitude and preference of the customers about the attribute...

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Bibliographic Details
Published in:Information processing & management 2018-11, Vol.54 (6), p.938-957
Main Authors: Kim, Sung Guen, Kang, Juyoung
Format: Article
Language:English
Subjects:
Analysis
Attitudes
Attributes
Automation
Companies
Competition
Consumer attitudes
Consumers
Context
Cosmetics
Data mining
Dirichlet problem
Discriminant analysis
Discriminative attributes of products
Information
Internet
L-LDA
Labeled latent Dirichlet allocation
Latent semantic analysis
LSA
Market erosion
Marketing
Polarity
Product reviews
Research methodology
Semantic analysis
Text mining
Words
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