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

fYear

2011

fDate

30-31 July 2011

Firstpage

1

Lastpage

5

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation and Systems Engineering (CASE), 2011 International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4577-0859-6

Type

conf

DOI

10.1109/ICCASE.2011.5997661

Filename

5997661