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Paper Information

lrec2018-main-425

Annotating Opinions and Opinion Targets in Student Course Feedback

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Title

Annotating Opinions and Opinion Targets in Student Course Feedback

Abstract

In this paper, we present a student course feedback corpus, a novel resource for opinion target extraction and sentiment analysis. The corpus is developed with the main aim of summarizing general feedback given by students on undergraduate-level courses. In this corpus, opinion targets, opinion expressions, and polarities of the opinion expressions towards the opinion targets are annotated. Opinion targets are basically the important key points in feedback that the students have shown their sentiment towards, such as “Lecture Slides”, and “Teaching Style”. The uniqueness of the corpus, annotation methodology, difficulties faced during annotating, and possible usages of the corpus are discussed in this paper.


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