User Modeling and User-Adapted Interaction
Learning to identify emotions in text
Proceedings of the 2008 ACM symposium on Applied computing
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Supporting the Development of Mobile Adaptive Learning Environments: A Case Study
IEEE Transactions on Learning Technologies
Octopus: An Upperware based system for building personal pervasive environments
Journal of Systems and Software
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)
Where should I go?: guiding users with cognitive limitations through mobile devices outdoors
Proceedings of the 13th International Conference on Interacción Persona-Ordenador
Sentiment analysis in Facebook and its application to e-learning
Computers in Human Behavior
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This paper presents AngryEmail, an e-mail tool that adapts its behavior according to the user emotional state. When a user finishes writing an e-mail and clicks the send button, the e-mail is automatically analyzed to get information about the emotions reflected on it, following a lexical-based approach. If a high level of anger is detected, then the e-mail program keeps the message unsent, waits for five minutes and, afterwards, notifies the user that the e-mail will be sent one minute later. This approach allows users to reconsider the convenience of sending certain e-mails when they are noticeably angry. This can be useful for all the people in general, but especially for those with cognitive limitations, for whom emotion control is harder.