Research problems in the use of a shallow artificial intelligence model of personality and emotion
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Learning to identify emotions in text
Proceedings of the 2008 ACM symposium on Applied computing
Implementing emotion-based user-aware e-learning
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Empirically building and evaluating a probabilistic model of user affect
User Modeling and User-Adapted Interaction
User Modeling and User-Adapted Interaction
Emotion Measurement in Intelligent Tutoring Systems: What, When and How to Measure
INCOS '11 Proceedings of the 2011 Third International Conference on Intelligent Networking and Collaborative Systems
Extracting Emotions from Texts in E-Learning Environments
CISIS '12 Proceedings of the 2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)
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There are different application domains that would benefit from an approach able to automatically identify emotions in texts. In this paper we propose an approach able to improve existing systems with the ability of identifying levels of emotions in user texts. The improvement can arise either from the additional knowledge about the user interacting with the system (augmenting the user model), or from supporting the evaluation or selection of the text to be delivered by or through the system. The approach is validated through the analysis of well-known literary works, as well as semi-formal texts. Context of application, conclusions and future works are also discussed.