Sentiment Analytics

learning with insight

Researcher: Steven Harris

In addition to textual analysis, we also look to develop a multiple-media sentiment analysis engine, called MeMoo, where other media information such as facial expression and physiology trackers can be used to augment sentiment observations. The current sentiment analysis work focuses on developing and testing a variety of natural language classifiers that recognize and identify students who are potentially frustrated or confused in the online learning environment, based on their interactions with the online learning system, discussion forums, and course materials.

Secondary areas of releated research include using similar algorithms to identify areas of weak learning content, based on identifying areas where students regularily seem to have problems; and ultimately even identifying student learning styles, and suggesting additional materials that may aid in their success with the course.



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