Mining patterns of e-Learner emotion communication in turn level of Chinese interactive texts: Experiments and findings

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.