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

Author:

Kim Sung Guen,Kang Juyoung

Funder

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference65 articles.

1. Twitter sentiment analysis of movie reviews using machine learning techniques;Amolik;International Journal of Engineering and Technology,2015

2. Deriving the pricing power of product features by mining consumer reviews;Archak;Management Science,2011

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4. Internet forums as influential sources of consumer information;Bickart;Journal of Interactive Marketing,2001

5. Unsupervised extraction of popular product attributes from e-commerce web sites by considering customer reviews;Bing;ACM Transactions on Internet Technology,2016

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