RnR: Extracting Rationale from Online Reviews and Ratings
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TL;DR
This paper has implemented the proposed RnR system for extracting rationale from online reviews and ratings from TripAdvisor.com and presented extensive experimental evaluation that demonstrates the improved computational performance of the approach and the accuracy in terms of identifying the rationale.
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. This RnR system is available for testing from http://rnrsystem.com/RnRSystem.