Análisis de Valoraciones de Usuario de Hoteles con Sentitext: un sistema de análisis de sentimiento independiente del dominio

• Autores: Antonio Moreno Ortiz , Francisco Pineda Castillo , Rodrigo Hidalgo García
• Localización: Procesamiento del lenguaje natural, ISSN 1135-5948, Nº. 45, 2010, págs. 31-40
• Idioma: español
• Enlaces
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• Dialnet Métricas: 5 Citas
• Resumen
  • español

    En este trabajo describimos la primera prueba sistemática realizada para evaluar el rendimiento de Sentitext, un sistema de análisis de sentimiento aún en fase de desarrollo. A diferencia de la mayoría de los sistemas existentes, el funcionamiento de Sentitext está basado enteramente en conocimiento lingüístico independiente del dominio, empleando para ello bases de datos léxicas de amplia cobertura desarrolladas al efecto, careciendo de algoritmos de aprendizaje y de clasificador en el sentido estricto. Los resultados arrojados por esta primera prueba, para la que hemos empleado textos de críticas de usuarios a hoteles provenientes de la versión en español de Tripadvisor, son extremadamente alentadores, dada la alta tasa de acierto en cuanto a polaridad.

  • English

    This paper describes a first test run of Sentitext, a sentiment analysis system under development. Unlike most existing systems, Sentitext is entirely based on linguistic knowledge and independent of any domain, using a wide coverage lexical database and lacking learning algorithms or classifiers, strictly speaking. Results on this first test, for which a collection of hotel review texts from Tripadvisor has been used, are extremely encouraging, given the high polarity hit rate.

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