Sentiment Analysis of a Student Q&A Board for Computer Science
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چکیده
Students’ emotions and attitudes are discernible in messages posted to online question and answer boards. Understanding student sentiment may help instructors identify students with low confidence or high frustration, optimize help-seeking, and potentially improve performance. Towards this end, we present a set emotion speech acts that were used by students in a university-level computer science course to express certainty and uncertainty, frustration, tension, and politeness in an online Q&A board. An analysis of the dataset by gender and roles is given.
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تاریخ انتشار 2009