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A Framework to Extract Arguments in Opinion Texts

Author

Listed:
  • María Paz García-Villalba

    (Institut de Recherche en Informatique de Toulouse, France)

  • Patrick Saint-Dizier

    (Institut de Recherche en Informatique de Toulouse, France)

Abstract

In this article, the authors present foundational elements related to argument extraction in opinion texts with the objective to design a model of how consumers develop argumentation in such texts. A second goal is to analyze and synthesize user preferences and therefore user value systems from these arguments. They show that (1) within the context of opinionated expressions, a number of evaluative expressions with a ‘heavy’ semantic load receive an argumentative interpretation, and (2) that the association of an evaluative expression with a discourse structure such as an elaboration, an illustration, or a reformulation must also be interpreted as an argument. The authors develop a conceptual semantics of these discourse structures and show how they are analyzed using the Dislog programming language, running on the platform, dedicated to discourse analysis.

Suggested Citation

  • María Paz García-Villalba & Patrick Saint-Dizier, 2012. "A Framework to Extract Arguments in Opinion Texts," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global, vol. 6(3), pages 62-87, July.
    • Handle: RePEc:igg:jcini0:v:6:y:2012:i:3:p:62-87
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