By Topic

Mining Customer Opinions on the Internet - A Case Study in the Automotive Industry

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
$33 $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)
Freimut Bodendorf ; Dept. of Inf. Syst., Univ. of Erlangen-Nuremberg, Nuremberg, Germany ; Carolin Kaiser

The Internet is increasingly changing from a medium of distribution to a platform of interaction. Customer discussions in Web 2.0 are a valuable source of information for companies. An opinion mining approach is presented which allows an auto-mated extraction, aggregation, and analysis of customer opinions on products by using text mining. Thus, strengths and weaknesses judged by customers can be detected at an early stage and starting points for product design and marketing can be identified. The application of the approach is illustrated by a case study coming from the automotive industry.

Published in:

Knowledge Discovery and Data Mining, 2010. WKDD '10. Third International Conference on

Date of Conference:

9-10 Jan. 2010