PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

ElectionWatch-Detecting Patterns in News Coverage of US Elections
Saatviga Sudhahar, Thomas Lansdall-Welfare, Ilias Flaounas and Nello Cristianini
In: 13th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 23 - 27 April 2012, Avignon, France.

Abstract

We present a web tool that allows users to explore news stories concerning the 2012 US Presidential Elections via an interactive interface. The tool is based on concepts of “narrative analysis”, where the key actors of a narration are identified, along with their relations, in what are sometimes called “semantic triplets” (one example of a triplet of this kind is “Romney Criticised Obama”). The network of actors and their relations can be mined for insights about the structure of the narration, including the identification of the key players, of the network of political support of each of them, a representation of the similarity of their political positions, and other information concerning their role in the media narration of events. The interactive interface allows the users to retrieve news report supporting the relations of interest.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
Information Retrieval & Textual Information Access
ID Code:9520
Deposited By:Saatviga Sudhahar
Deposited On:20 May 2012