Emotional computing and discourse analysis: A case study about brexit in Twitter

Abstract

During the last years, emotional computing has emerged as a field of Human Computer Interaction, where algorithms are able to recognize emotions in order to take better decisions in a given context. However correctly recognizing emotions is known to be a difficult task, specially in social networks which is plenty of stereotypes, metaphors, ironies and multi-word expressions that make the process hard to succeed. In this paper, we propose to pre-process the data by using emotional computing algorithms to then employ discourse analysis for the study of the information viralyzed through social networks. We provide interesting results using as case study the Brexit.