In this paper we present a dataset composed of domain-specific sentiment lexicons in six languages for two domains. We used existing
collections of reviews from TripAdvisor, Amazon, the Stanford Network Analysis Project and the OpinRank Review Dataset. We use
an RDF model based on the lemon and Marl formats to represent the lexicons. We describe the methodology that we applied to generate
the domain-specific lexicons and we provide access information to our datasets.