The diversity and volume of textual data in the course reviews area are overwhelming. These data offer faculties with a chance to capture topic interests of learners and further make relevant recommendations for them. “Like”or “+1”considered as a specific interactive means among learners has been commonly applied to enriching the interactivity and flexibility of online community. This information can reflect their supporting, appreciation for the textual contents and topical interests. In view of this situation, the topic model by incorporating the behavioral feature &l...
