Author(s)

Mohammed Abdel Razek^1,2, Claude Frasson³

¹Research and Development Department, Deanship of Distance Learning, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia.
²Math & Computer Science Department, Faculty of Science, Azhar University, Cairo, Egypt.
³Département d’informatique & de recherche opérationnelle Université de Montréal, Québec, Canada.

Nowadays, millions of users use many social media systems every day. These services produce massive messages, which play a vital role in the social networking paradigm. As we see, an intelligent learning emotion system is desperately needed for detecting emotion among these messages. This system could be suitable in understanding users’ feelings towards particular discussion. This paper proposes a text-based emotion recognition approach that uses personal text data to recognize user’s current emotion. The proposed approach applies Dominant Meaning Technique to recognize user’s emotion. The paper reports promising experiential results on the tested dataset based on the proposed algorithm.

Text Based Emotion, Intelligent Learning System, Dominant Meaning

Razek, M. and Frasson, C. (2017) Text-Based Intelligent Learning Emotion System. Journal of Intelligent Learning Systems and Applications, 9, 17-20. doi: 10.4236/jilsa.2017.91002.