Linda Barros
ABSTRACT
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.
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Index Terms
- Emotion recognition in texts for user model augmenting
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