An OWA and Aspect-based approach applied to Rating Prediction

摘要

We have witnessed a flourish of review websites where users can buy many products/services and share their opinions about them. Most of those opinions may be broken down into different sub-opinions on the different aspects describing said products/services. This fact makes more complicated the task of computing the overall polarity about the product/service studied.We are presenting a fuzzy aggregation mechanism to compute the overall sentiment conveyed in a opinion/review taking into account the individual ratings for the different aspects commented by the opinion holder. This proposal has been tested using real data from Yelp dataset obtaining promising results.