Targeted Sentiment to Understand Student Comments
We address the task of targeted sentiment as a means of understanding the sentiment that students hold toward courses and instructors, as expressed by students in their comments. We introduce a new dataset consisting of student comments annotated for targeted sentiment and describe a system that can both identify the courses and instructors mentioned in student comments, as well as label the students{'} sentiment toward those entities. Through several comparative evaluations, we show that our system outperforms previous work on a similar task.
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