Opinion Mining in Web 2.0 – Concept and Case Study

Abstract

The Internet is increasingly changing from a static to an interactive platform. Customer discussions on Web 2.0 represent a rich source of information for companies. However, manual analysis of Web 2.0 is time-consuming. In this paper, an opinion mining concept is presented that allows automated extraction, aggregation and analysis of customer opinions about products by using text mining. Thus, strengths and weaknesses of products can be identified and starting points for product design and sales promotion can be gained. The application and benefits of the concept are demonstrated using a case study from the automotive industry.

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