On the effectiveness of emotion extraction techniques

Yashar Moshfeghi, Joemon M. Jose

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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.
Original languageEnglish
Title of host publicationProceedings of the 10th Conference on Open Research Areas in Information Retrieval
Place of PublicationParis, France
Pages197-200
Number of pages4
Publication statusPublished - 2013

Publication series

NameOAIR '13
PublisherLE CENTRE DE HAUTES ETUDES INTERNATIONALES D'INFORMATIQUE DOCUMENTAIRE

Keywords

  • information retrieval
  • emotion extraction

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