Classification Rules to identify Context and Preference Information from Tourist’s Reviews

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 u...

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Autor principal: Aciar, Silvana Vanesa
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2010
Materias:
Ciencias Informáticas
Contextual Information
Mining opinion
Text Mining
Classification tools
Tourism reviews
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/152655
http://39jaiio.sadio.org.ar/sites/default/files/39jaiio-asai-13.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-152655
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spelling I19-R120-10915-1526552023-05-09T20:05:16Z http://sedici.unlp.edu.ar/handle/10915/152655 http://39jaiio.sadio.org.ar/sites/default/files/39jaiio-asai-13.pdf issn:1850-2784 Classification Rules to identify Context and Preference Information from Tourist’s Reviews Aciar, Silvana Vanesa 2010 2010 2023-05-09T15:02:25Z en Ciencias Informáticas Contextual Information Mining opinion Text Mining Classification tools Tourism reviews 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. Sociedad Argentina de Informática e Investigación Operativa Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 138-149
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Contextual Information
Mining opinion
Text Mining
Classification tools
Tourism reviews
spellingShingle Ciencias Informáticas
Contextual Information
Mining opinion
Text Mining
Classification tools
Tourism reviews
Aciar, Silvana Vanesa
Classification Rules to identify Context and Preference Information from Tourist’s Reviews
topic_facet Ciencias Informáticas
Contextual Information
Mining opinion
Text Mining
Classification tools
Tourism reviews
description 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.
format Objeto de conferencia
Objeto de conferencia
author Aciar, Silvana Vanesa
author_facet Aciar, Silvana Vanesa
author_sort Aciar, Silvana Vanesa
title Classification Rules to identify Context and Preference Information from Tourist’s Reviews
title_short Classification Rules to identify Context and Preference Information from Tourist’s Reviews
title_full Classification Rules to identify Context and Preference Information from Tourist’s Reviews
title_fullStr Classification Rules to identify Context and Preference Information from Tourist’s Reviews
title_full_unstemmed Classification Rules to identify Context and Preference Information from Tourist’s Reviews
title_sort classification rules to identify context and preference information from tourist’s reviews
publishDate 2010
url http://sedici.unlp.edu.ar/handle/10915/152655
http://39jaiio.sadio.org.ar/sites/default/files/39jaiio-asai-13.pdf
work_keys_str_mv AT aciarsilvanavanesa classificationrulestoidentifycontextandpreferenceinformationfromtouristsreviews
_version_ 1765660137022816256

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