Publications

Suggested Citation

Bodendorf, F., & Kaiser, C. (2010). Mining Customer Opinions on the Internet - A Case Study in the Automotive Industry. 2010 Third International Conference on Knowledge Discovery and Data Mining, 24–27, Phuket, Thailand. https://doi.org/10.1109/WKDD.2010.129

Year

2010

Authors
Dr. Carolin Kaiser,
Dr. Johannes Kröckel,
Prof. Dr. Freimut Bodendorf
Publication title
Mining Customer Opinions on the Internet - A Case Study in the Automotive Industry
Publication
Peer-reviewed

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

Abstract

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.

Authors

  • Dr. Carolin Kaiser, Head of Artificial Intelligence, NIM, carolin.kaiser@nim.org
  • Dr. Johannes Kröckel, University of Erlangen-Nuremberg
  • Prof. Dr. Freimut Bodendorf, Department of Information Systems University of Erlangen-Nuremberg, Nuremberg, Germany

Contact

Dr. Carolin Kaiser

Head of Artificial Intelligence

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