• DocumentCode
    76741
  • Title

    Are They Different? Affect, Feeling, Emotion, Sentiment, and Opinion Detection in Text

  • Author

    Munezero, Myriam ; Montero, Calkin Suero ; Sutinen, Erkki ; Pajunen, John

  • Author_Institution
    Sch. of Comput., Univ. of Eastern Finland, Joensuu, Finland
  • Volume
    5
  • Issue
    2
  • fYear
    2014
  • fDate
    April-June 1 2014
  • Firstpage
    101
  • Lastpage
    111
  • Abstract
    A major limitation in the automatic detection of affect, feelings, emotions, sentiments, and opinions in text is the lack of proper differentiation between these subjective terms and understanding of how they relate to one another. This lack of differentiation not only leads to inconsistency in terminology usage but also makes the subtleties and nuances expressed by the five terms difficult to understand, resulting in subpar detection of the terms in text. In light of such limitation, this paper clarifies the differences between these five subjective terms and reveals significant concepts to the computational linguistics community for their effective detection and processing in text.
  • Keywords
    computational linguistics; text analysis; affect detection; computational linguistics community; emotion detection; feeling detection; opinion detection; sentiment detection; subjective terms; subpar detection; terminology usage; text processing; Appraisal; Cultural differences; Educational institutions; Electronic mail; Natural language processing; Physiology; Psychology; Affect sensing and analysis; computation models of emotion;
  • fLanguage
    English
  • Journal_Title
    Affective Computing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3045
  • Type

    jour

  • DOI
    10.1109/TAFFC.2014.2317187
  • Filename
    6797872