User-generated content is used to evaluate products and services and tourism industry has been one of the most influenced, due to the existence of vast amount of user-generated data, which is an important resource to foster ranking mechanisms. Though, almost all the online travel platforms (e.g., TripAdvisor, Yelp, Expedia) do not reveal enough details regarding how they valuate/rank hotels, flights, restaurants, etc. The objective of this work is to propose a preliminary ranking mechanism, which relies on the qualitative characteristics of the comments by incorporating Latent Dirichlet Allocation and multi-criteria decision-making. We empirically study the ranking mechanism using TripAdvisor’s user comments on restaurants located in Athens, Greece. The results are evaluated using a simple quantitative ranking scheme and we conclude by considering the theoretical contributions and practical implications and further developments of the proposed ranking approach.