Combining Text Mining and Data Mining For Gaining Valuable Knowledge from Online Reviews

Abstract

In the course of a social orientation of the Internet there is an increasing number of customers who share their product experiences. The growing Web 2.0 encompasses a valuable source of knowledge for companies. However, the manual analysis of customer experience on the Web 2.0 is very time consuming. This paper proposes a system which allows an automatic analysis of customer experience by combining methods from text mining and data mining. This system enables the extraction, aggregation and analyzation of product features and their evaluations. Thus, valuable information for product development and improvement can be gained.