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

被引：0

作者：

Bodendorf, Freimut ^{[1
]}

Kaiser, Carolin ^{[1
]}

机构：

[1] Univ Erlangen Nurnberg, Dept Informat Syst, Nurnberg, Germany

来源：

THIRD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING: WKDD 2010, PROCEEDINGS | 2010年

关键词：

text mining; web mining; opinion mining; Web; 2.0; social networks; forum analysis; product rating;

D O I：

10.1109/WKDD.2010.129

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 automated 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.

引用

页码：24 / 27

页数：4

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