Towards an Analysis of Opinions in News Editorials: How positive was the year?

January 2009



Abstract

Editorials represent opinion articles written by the publisher, editors orcolumnists of newspapers. From this perspective, editorials are ideal sources for outlining views on events and analyzing how they are perceived, e.g. whether they are positive or negative or the kind of feelings or analysis they involve (uncertainty, worries, etc.). The proposed work aims at identifying the linguistic criteria and at creating a model for the aforementioned purpose, which makes use of an adequate set of semantic tags that we have defined to annotate texts from which a detailed analysis can be carried out.
Currently, the work is in its preliminary stage, primarily focussed on defining the tags required for the semantic-pragmatic analysis. In parallel with the definition of tags and text annotation, we explore ways to construct synthesis of opinions on a given event from various editorials. One of the challenges is to organize the positive and the negative views, and the associated arguments and their strength. We noted that opinions in editorials are not so apparent, which makes synthesis construction a challenging task.


Keywords

NLP