Polarity analysis of reviews based on the omission of asymmetric sentences

• Autores: John Alexander Roberto Rodríguez, Maria Salamó Llorente , María Antonia Martí Antonín
• Localización: Procesamiento del lenguaje natural, ISSN 1135-5948, Nº. 54, 2015, págs. 77-84
• Idioma: inglés
• Títulos paralelos:
  • Análisis de la polaridad de comentarios basado en la omisión de oraciones asimétricas
• Enlaces
  • Texto completo
• Dialnet Métricas: 1 Cita
• Resumen
  • español

    En este artículo presentamos una aproximación novedosa para el tratamiento de la polaridad en comentarios sobre productos. Nuestro método se centra en identificar y eliminar las oraciones que tienen una polaridad opuesta a la del comentario (oraciones asimétricas) como paso previo a la identificación de los comentarios positivos y negativos. Nuestra hipótesis de partida es que las oraciones asimétricas son morfo-sintácticamente más complejas que las oraciones simétricas (oraciones con la misma polaridad que la del comentario) por lo que es posible mejorar la detección de la polaridad eliminado este tipo de oraciones del texto. Para validar esta hipótesis, hemos medido la complejidad sintáctica de ambos tipos de oraciones en diferentes dominios y hemos contrastado tres configuraciones de datos diferentes basadas en el uso y la omisión de las oraciones asimétricas.

  • English

    In this paper, we present a novel approach to polarity analysis of product reviews which detects and removes sentences with the opposite polarity to that of the entire document (asymmetric sentences) as a previous step to identify positive and negative reviews. We postulate that asymmetric sentences are morpho-syntactically more complex than symmetric ones (sentences with the same polarity to that of the entire document) and that it is possible to improve the detection of the polarity orientation of reviews by removing asymmetric sentences from the text. To validate this hypothesis, we measured the syntactic complexity of both types of sentences in a multi-domain corpus of product reviews and contrasted three relevant data configurations based on inclusion and omission of asymmetric sentences from the reviews.

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