• DocumentCode
    2304201
  • Title

    Expressions of graduality for sentiments analysis — A survey

  • Author

    Dzogang, Fabon ; Lesot, Marie-Jeanne ; Rifqi, Maria ; Bouchon-Meunier, Bernadette

  • Author_Institution
    Dept. of Machine Learning (DAPA), Univ. Pierre et Marie Curie - Paris6, Paris, France
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Given the very ambiguous and imprecise nature of sentiments and of their expressions, this survey focuses on approaches making use of components of graduality in the task of automatic sentiments analysis. To that aim, we review methods taking account of intrinsic psychological models components of graduality as well as extrinsic components issued from computational intelligence approaches. In particular, beyond psychological models of sentiments that define affective states as multidimensional vectors in affective continuous spaces, we identify three components of graduality, namely composition or blending, intensity and inheritance. In our discussion, we review how fuzzy set theory as well as other gradual structures based on a vectorial representation are employed to describe affective states as complex or imprecise entities. Finally, we focus on verbal expressions of sentiments and more specifically, we discuss the use of components of graduality in order to deal with sentiments complex and subtle expressions issued from the expressive power of natural languages.
  • Keywords
    behavioural sciences computing; fuzzy set theory; natural language processing; psychology; automatic sentiments analysis; computational intelligence; fuzzy set theory; graduality; intrinsic psychological model; natural language; vectorial representation; Computational modeling; Context; Fuzzy sets; Natural languages; Pragmatics; Psychology; Semantics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-6919-2
  • Type

    conf

  • DOI
    10.1109/FUZZY.2010.5584148
  • Filename
    5584148