International Journal of Information Technology & Computer Science ( IJITCS )
Social networks are increasingly being considered as a powerful idea for learning. Especially in the area of Intelligent Tutoring Systems, they can produce interactive, adaptive and personalized e-learning systems which can promote the tutoring process by divulging the abilities and weaknesses of each student and by personalizing the communication by user classification. In this paper, the primary idea is the emotion recognition as a value of the user clustering procedure, given that the fact of knowing how people feel about certain topics can be considered very important for the amelioration of the educational process. As a testbed for our research, we have developed a prototype system for recognition of emotional states of Facebook users. Users’ feelings can be positive, negative or neutral. An emotion is often represented in subtle or complex ways in a status. On top of that, data gathered from Facebook often contain a lot of noise. Indeed, the task of automatic emotion recognition in online texts becomes more difficult. For this reason, a probabilistic approach of Rocchio classifier is used so that the educational process is assisted. Conclusively, the conducted experiments confirmed the usefulness of the described approach.
: Affective Interaction; Emotion Recognition; Intelligent Tutoring Systems; Rocchio Classifier; Social Networks.
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