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Unsupervised acquisition of domain aspect terms for Aspect Based Opinion Mining

  • Autores: Aitor García Pablos, Montse Cuadros, Germán Rigau Claramunt Árbol académico
  • Localización: Procesamiento del lenguaje natural, ISSN 1135-5948, Nº. 53, 2014, págs. 121-128
  • Idioma: inglés
  • Títulos paralelos:
    • Adquisici´on no supervisada de aspectos de un dominio para Miner´ıa de Opiniones Basada en Aspectos
  • Enlaces
  • Resumen
    • español

      El análisis automático de la opinión, que usualmente recibe el nombre minería de opinión o análisis del sentimiento, ha cobrado una gran importancia durante la última década. La minería de opinión basada en aspectos se centra en detectar el sentimiento con respecto a “aspectos” de la entidad examinada (i.e. características o partes concretas evaluadas en una sentencia). De cara a detectar dichos aspectos se requiere una cierta información sobre el dominio o temática del contenido analizado, ya que el vocabulario varía de un dominio a otro. El objetivo de este trabajo es generar de manera automática una lista de aspectos del dominio partiendo de un set de textos sin etiquetar, de manera completamente no supervisada, como primer paso para el desarrollo de un sistema más completo.

    • English

      The automatic analysis of opinions, which usually receives the name of opinion mining or sentiment analysis, has gained a great importance during the last decade. This is mainly due to the overgrown of online content in the Internet. The so-called aspect based opinion mining systems aim to detect the sentiment at “aspect” level (i.e. the precise feature being opinionated in a clause or sentence). In order to detect such aspects it is required some knowledge about the domain under analysis. The vocabulary in different domains may vary, and different words are interesting features in different domains. We aim to generate a list of domain related words and expressions from unlabeled domain texts, in a completely unsupervised way, as a first step to a more complex opinion mining system.

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