By Topic

A DFM Model of Mining Product Features from Customer Reviews

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Li Shi ; Coll. of Inf. & Comput. Eng., Northeast Forestry Univ., Harbin, China ; Ji MingYu

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.

Published in:

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

Date of Conference:

30-31 July 2011