Title :
A DFM Model of Mining Product Features from Customer Reviews
Author :
Li Shi ; Ji MingYu
Author_Institution :
Coll. of Inf. & Comput. Eng., Northeast Forestry Univ., Harbin, China
Abstract :
With the development of e-business, interactions between enterprise and customer have gone into a new phase which network technology is the core competitiveness. Network customer reviews as an important part of network reputation influent consumers ´ purchasing decisions, and bring enterprise digital feedback. This paper studied the theoretical framework which based on products feature mining issues from customer reviews, explored to contract a DFM model to strengthen the product features extraction technology. This theoretical model can help researchers acquire supported valuable data for additional researches including the study of behavioral.
Keywords :
Internet; consumer behaviour; customer satisfaction; data mining; electronic commerce; Chinese e-commerce; DFM model; Internet; consumer purchasing decision; data function method; e-business; enterprise digital feedback; enterprise-customer interaction; network customer review; network reputation; network technology; product feature extraction; product feature mining; Data mining; Data models; Digital cameras; Feature extraction; Internet; Machine learning; Semantics;
Conference_Titel :
Control, Automation and Systems Engineering (CASE), 2011 International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-0859-6
DOI :
10.1109/ICCASE.2011.5997661
