Internet social networks offer a wide variety of possibilities, including communication between users, sharing information, and the creation of virtual communities on many different subjects. One of these subjects is healthcare, where different social networks are now appearing and covering different objectives. In this chapter, a social network is described, where users can formulate healthcare questions that are automatically classified under concepts of a medical ontology and assigned to experts of each topic. These questions are then answered by healthcare expert physicians. This chapter includes a semantic classifying method that provides the automatic classification of questions by means of a medical ontology, based on the tags used to annotate them, and the previously classified questions. The chapter includes an ontological model that represents the questions, the assigned tags, the answers, the physicians, and the medical concepts.
Automatic Classification of Sexism in Social Networks: An Empirical Study on Twitter Data
