Unsupervised acquisition of domain aspect terms for Aspect Based Opinion Mining

  1. Aitor García Pablos
  2. Montse Cuadros
  3. German Rigau
Revista:
Procesamiento del lenguaje natural

ISSN: 1135-5948

Año de publicación: 2014

Número: 53

Páginas: 121-128

Tipo: Artículo

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Otras publicaciones en: Procesamiento del lenguaje natural

Resumen

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.

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Fuente de los datos: Dialnet