On the effectiveness of emotion extraction techniques

Authors:
Yashar Moshfeghi;Joemon M. Jose
Affiliations:
University of Glasgow, Glasgow, UK;University of Glasgow, Glasgow, UK
Venue:
Proceedings of the 10th Conference on Open Research Areas in Information Retrieval
Year:
2013

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Abstract

Emotion is considered to be an important factor in human decision making and consciousness. Due to its perceived importance, recently a number of works try to explore emotion in IR tasks. However, the complexity of emotion extractors and lack of understanding on their effectiveness hinder the progress of such works. In this paper, we conduct a comparative study on the effectiveness of three emotion extractors. Our findings show a superior performance of an extractor based on OCC model.