Selection of Web Services Based on Opinion Mining of Free-Text User Reviews
When multiple web services exist that perform identical tasks, non-functional attributes must be considered in order to choose the best service. Quality-of-service (QoS) attributes are often used to differentiate functionally redundant web services. However, ranking services according to QoS attributes is a complex problem. Additionally, the use of test data to establish those QoS ratings does not always yield accurate results. Therefore, this paper proposes a method that utilizes opinion mining techniques to extract information about the QoS attributes of a web service based on free-text user reviews. This method not only has the advantage of using real-world data rather than test data, but it also ensures that a variety of use cases are tested that would be common in the everyday usage of that service.
Nicholas A. Thurow and John D. Delano. "Selection of Web Services Based on Opinion Mining of Free-Text User Reviews" ICIS 2010 Proceedings (2010).