personal opinions in social networks and other online platforms with the idea to help other
visitants, many authors have proposed a huge variety of ways to classify the sentiments
contained in these opinions in order to recommend services (hotels, restaurants, etc.) and
destinations to the users with the intention of facilitating their trip planning. In this paper, the
authors propose a model to rank tourist sites of a city, based on OWA operators, with the …