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Analyse d'opinions multi-aspects pour la recommandation fine de restaurants(Aspect-based opinion analysis for restaurant discovery)

In this paper, we present the task of multi-aspect opinion mining and its application for recommendation in an industrial context. The texts used are comments in French about restaurants, posted on the Internet. These texts have been manually labeled according to a domain ontology, so as to extract the various aspects of the user experience and attach a polarity to them. Several Machine Learning experiments have been conducted to reproduce this annotation on new texts. The best results have been obtained by using two consecutive CRFs.