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.