On the Effectiveness of Emotion Extraction Techniques

Moshfeghi, Y. and Jose, J. M. (2013) On the Effectiveness of Emotion Extraction Techniques. In: 10th Conference on Open Research Areas in Information Retrieval, Lisbon, Portugal, 22-24 May 2013, pp. 197-200. ISBN 9782905450098

Full text not currently available from Enlighten.

Publisher's URL: http://dl.acm.org/citation.cfm?id=2491748.2491788

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.

Item Type:Conference Proceedings
Keywords:OCC model, emotion extraction system, evaluation, text.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Jose, Professor Joemon and Moshfeghi, Dr Yashar
Authors: Moshfeghi, Y., and Jose, J. M.
College/School:College of Science and Engineering > School of Computing Science
Publisher:LE CENTRE DE HAUTES ETUDES INTERNATIONALES D'INFORMATIQUE DOCUMENTAIRE
ISBN:9782905450098

University Staff: Request a correction | Enlighten Editors: Update this record

Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
572791LiMoSINe: Linguistically Motivated Semantic aggregatIon eNginesJoemon JoseEuropean Commission (EC)288024COM - COMPUTING SCIENCE