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

Bodendorf F, Kaiser C (2010)


Publication Type: Conference contribution, Original article

Publication year: 2010

Edited Volumes: 3rd International Conference on Knowledge Discovery and Data Mining, WKDD 2010

Pages Range: 24-27

Conference Proceedings Title: 2010 Third International Conference on Knowledge Discovery and Data Mining

Event location: Phuket

URI: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5432748

DOI: 10.1109/WKDD.2010.129

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. © 2010 IEEE.

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How to cite

APA:

Bodendorf, F., & Kaiser, C. (2010). Mining Customer Opinions on the Internet - A Case Study in the Automotive Industry. In 2010 Third International Conference on Knowledge Discovery and Data Mining (pp. 24-27). Phuket.

MLA:

Bodendorf, Freimut, and Carolin Kaiser. "Mining Customer Opinions on the Internet - A Case Study in the Automotive Industry." Proceedings of the Proceedings of the International Conference on Knowledge Discovery and Data Mining, Phuket 2010. 24-27.

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