Can e-Learner's emotion be recognized from interactive Chinese texts?

Authors:
Feng Tian; Qinghua Zheng; Ruomeng Zhao; Tonghao Chen; Xinyan Jia
Affiliations:
School of Electronics and Informatics, Xi'an Jiaotong University, China;School of Electronics and Informatics, Xi'an Jiaotong University, China;School of Electronics and Informatics, Xi'an Jiaotong University, China;School of Electronics and Informatics, Xi'an Jiaotong University, China;School of Electronics and Informatics, Xi'an Jiaotong University, China
Venue:
CSCWD '09 Proceedings of the 2009 13th International Conference on Computer Supported Cooperative Work in Design
Year:
2009

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Exploiting sentiment analysis to track emotions in students' learning diaries

Proceedings of the 13th Koli Calling International Conference on Computing Education Research

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Abstract

Aiming at Emotional Illiteracy in current e-Learning environment, this paper discussed the reason why this situation happens. A research and application framework of recognizing emotion based text interaction is presented. An emotion category model for e-Learners is defined. Many Chinese metaphors are abstracted from corpus according to the sentence semantic and syntax. A method is applied to identify e-learner emotion. Good results are achieved in our initial experiment. A case based reasoning sentiment adjustment strategy recommendation is proposed to enhance emotion communication between two interacted sides.