In many tourist sites have been incorporate box to allow people interchange experience, written comments and valuation about products or services. Many of the tourists planning decision are based on third-party opinions. Text mining is the discipline that extracts information from written text by users/consumers in natural language to be understood by a computer system. In this paper is presented a text mining process to obtain classification rules in order to identify context information and consumer’s preferences from a review. User’s preferences are different according with a situation or context in which the review was expressed. This approach was exemplified by a case study using reviews from www.tripadvisor.com.
Información general
Fecha de exposición:2010
Fecha de publicación:2010
Idioma del documento:Inglés
Evento:Simposio Argentino de Inteligencia Artificial (ASAI 2010) - JAIIO 39 (UADE, 30 de agosto al 3 de septiembre de 2010)
Institución de origen:Sociedad Argentina de Informática e Investigación Operativa
Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)