Recognizing and regulating e-learners’ emotions based on interactive Chinese texts in e-learning systems
作者：
Highlights：
• A textual interaction based emotion recognition research and application framework.
• Defined an e-learner oriented emotion category by the questionnaire survey.
• Presented the active learning strategy for emotion recognition and regulation.
• A two-phase cost-sensitive emotion classification combining with topic detection.
• A case based reasoning instance recommendation for e-learner emotion regulation.
摘要
•A textual interaction based emotion recognition research and application framework.•Defined an e-learner oriented emotion category by the questionnaire survey.•Presented the active learning strategy for emotion recognition and regulation.•A two-phase cost-sensitive emotion classification combining with topic detection.•A case based reasoning instance recommendation for e-learner emotion regulation.
论文关键词：Sentiment classification,Interactive Chinese texts,Feature extraction and selection,Emotion regulation,E-learning
论文评审过程：Received 21 November 2012, Revised 14 October 2013, Accepted 15 October 2013, Available online 24 October 2013.
论文官网地址：https://doi.org/10.1016/j.knosys.2013.10.019
