A Framework to Extract Arguments in Opinion Texts

  • Authors:
  • María Paz García-Villalba;Patrick Saint-Dizier

  • Affiliations:
  • Institut de Recherche en Informatique de Toulouse, France;Institut de Recherche en Informatique de Toulouse, France

  • Venue:
  • International Journal of Cognitive Informatics and Natural Intelligence
  • Year:
  • 2012

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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.