Title :
Mining patterns of e-Learner emotion communication in turn level of Chinese interactive texts: Experiments and findings
Author :
Tian, Feng ; Zheng, Qinghua ; Zheng, Deli
Author_Institution :
MOE KLINNS Lab and SKLMS Lab, School of Elect. & Info. Eng., Xi´´an Jiaotong University, Xi´´an, P.R. China
Abstract :
There is lack of researches on discovering the emotion communication patterns in turn level. It is believe that can give a new view to build emotion computing model and improve the emotion prediction performance for interactive texts based applications. In this paper, a hierarchical emotion category is given. Then a hierarchical sequential pattern mining method based on SPAM is proposed and used to mining the emotion communication patterns in turn level of Chinese interactive texts. Some interesting sequences are found and discussed.
Keywords :
Cognition; Collaborative work; Computers; Data mining; Electronic learning; Learning systems; Predictive models; Psychology; Research and development; Unsolicited electronic mail; SPAM; e-Learner emotion communication pattern; sequential pattern mining; turn;
Conference_Titel :
Computer Supported Cooperative Work in Design (CSCWD), 2010 14th International Conference on
Conference_Location :
Shanghai, China
Print_ISBN :
978-1-4244-6763-1
DOI :
10.1109/CSCWD.2010.5471892
