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Text-Based Intelligent Learning Emotion System
Research and Development Department, Deanship of Distance Learning, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
Département d’informatique & de recherche opérationnelle Université de Montréal, Québec, Canada
Math & Computer Science Department, Faculty of Science, Azhar University, Cairo, Egypt
- 1 Research and Development Department, Deanship of Distance Learning, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
- 2 Département d’informatique & de recherche opérationnelle Université de Montréal, Québec, Canada
- 3 Math & Computer Science Department, Faculty of Science, Azhar University, Cairo, Egypt
Journal of Intelligent Learning Systems and Applications·Volume 09 (2017)·Pages 17–20·Published 24 January 2017·DOI10.4236/jilsa.2017.91002
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Abstract
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.
KeywordsText Based EmotionIntelligent Learning SystemDominant Meaning
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