Visualizing e-Learner Emotion, Topic, and Group Structure in Chinese Interactive Texts

To help teachers know class/group members better in the case of large scale on-line textual interaction, this paper tried to display e-Learner´s emotion combined with topics and group structure. For achieving this goal, a color palette of emotions based on Plutchik´s color palette was presented, an extended cascaded PLSI algorithm using sliding window technique was proposed to detect and track topics in Chinese interactive texts, and multiple star-field variants were introduced to display the group structure.