Opinion identification in Spanish texts

Authors:
Aiala Rosá;Dina Wonsever;Jean-Luc Minel
Affiliations:
Université Paris Ouest Nanterre La Défense, Bureau, Nanterre Cedex;Grupo de Procesamiento de Lenguaje Natural, Montevideo, Uruguay;Université Paris Ouest Nanterre La Défense, CNRS France, Bureau, Nanterre Cedex
Venue:
YIWCALA '10 Proceedings of the NAACL HLT 2010 Young Investigators Workshop on Computational Approaches to Languages of the Americas
Year:
2010

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Abstract

We present our work on the identification of opinions and its components: the source, the topic and the message. We describe a rule-based system for which we achieved a recall of 74% and a precision of 94%. Experimentation with machine-learning techniques for the same task is currently underway.