Web services for analysing and summarising online opinions and reviews

Abstract

Review mining is a part of web mining which focuses on getting main information from user review. State of the art review mining systems focus on identifying semantic orientation of reviews and providing sentences or feature scores. There has been little focus on understanding the rationale for the ratings that are provided. This paper presents our proposed RnR system for extracting rationale from online reviews and ratings. We have implemented the system for evaluation on online reviews for hotels from TripAdvisor.com and present extensive experimental evaluation that demonstrates the improved computational performance of our approach and the accuracy in terms of identifying the rationale. We have developed a web based system as well as web service based application to provide flexibility of accessing the rationale. Web based version of RnR system is available for testing from http://rnrsystem.com/ RnRSystem. RnR system web service is available from http://rnrsystem.com/axis2/ services/RnRData?wsdl. © 2010 Springer-Verlag.