On the Identification of Emotions and Authors' Gender in Facebook Comments on the Basis of their Writing Style
Francisco Rangel, Paolo Rosso · RiuNet (Universitat Politècnica de València) · 2013
Abstract. In this paper, we propose a method for automatic identifying emotions in written texts in social media with high proliferation such as Facebook. For that task we try to model the way people use the language to express themselves, and also use this model for identifying the gender of the authors. We focused on Spanish due to the lack of studies and resources in that language.