Opinion Identification in Spanish Texts

Autor: Rosa, Aiala, Wonsever, Dina, Minel, Jean-Luc
Přispěvatelé: Instituto de Computacion [Montevideo] (INCO), Universidad de la República [Montevideo] (UCUR), Modèles, Dynamiques, Corpus (MoDyCo), Université Paris Nanterre (UPN)-Centre National de la Recherche Scientifique (CNRS), Universidad de la República [Montevideo] (UDELAR)
Jazyk: angličtina
Rok vydání: 2010
Předmět:
Zdroj: NAACL HLT 2010
NAACL HLT 2010, 2010, Los Angeles, United States. Association for Computational Linguistics, pp.54-61, 2010
Popis: International audience; 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
Databáze: OpenAIRE