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Sentiment analysis of informal textual communication in cyberspace

by Georgios Paltoglou, Stéphane Gobron, Marcin Skowron, Mike Thelwall, Daniel Thalmann
Proc. Engage ()


The ability to correctly identify the existence and polarity of emotion in informal, textual communication is a very important part of a realistic and immersive 3D environment where people communicate with one another through avatars or with an automated system. Such a feature would provide the system the ability to realistically represent the mood and intentions of the participants, thus greatly enhancing their experience. In this paper, we study and compare a number of approaches for detecting whether a textual utterance is of objective or subjective nature and in the latter case detecting the polarity of the utterance (i.e. positive vs. negative). Experiments are carried out on a real corpus of social exchanges in cyberspace and general conclusions are presented

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