Detección de la polaridad en citas periodísticas: una solución no supervisada

• Autores: Arturo Montejo Ráez , Eugenio Martínez Cámara , María Teresa Martín Valdivia , Luis Alfonso Ureña López
• Localización: Procesamiento del lenguaje natural, ISSN 1135-5948, Nº. 49, 2012, págs. 149-156
• Idioma: español
• Enlaces
  • Texto completo
• Resumen
  • español

    El presente trabajo expone los resultados alcanzados mediante un m´etodo no supervisado para la detecci´on de la polaridad en textos relativos a citas aparecidas en noticias en ingl´es, correspondientes al corpus 2010 JRC 1590 quotes. Este m´etodo, basado en la obtenci´on de un subgrafo de WordNet obtenido mediante el algoritmo Page Rank y su ponderaci´on mediante los valores correspondientes en SentiWordNet, propone una soluci´on no supervisada que ofrece unos resultados competitivos sobre algunas t´ecnicas actuales.

  • English

    This papers shows the results obtained by a non supervised method in the task of sentiment polarity detection on news quotations (reported speech) from the 2010 JRC 1590 quotes corpus. This method, which obtains a subgraph of WordNet by applying Page Rank over it, weights such a graph with corresponding SentiWordNet polarity scores, offering a non-supervised solution comparable to state-of-the-art techniques.

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