Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582020000300007 |
Resumo: | Abstract Social media analysis is a powerful tool for tourism research that, at a relatively low cost, can be used to manage and process large datasets of comments, ratings, and shares from different online communities. However, the heterogeneous nature of unsolicited opinions, the complexity of natural language assessment, and differences in the characteristics of social-data sources hinder the accurate assessment of preferences. Likewise, the use of solicited data sources, such as direct polling, is typically resource-intensive, time-consuming, and geographically limited. We analyze a hybrid approach that combines active polling with passive social media analysis to rate tourist experience. To this end, we present a novel multiple criteria decision analysis model for preference-extraction from solicited and unsolicited data. The proposed approach can significantly reduce the number of polls required to accurately assess the preferences of a community, especially when surveying rural destinations, which are sparsely populated geographic areas situated outside cities and towns. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourismSocial media analysisonline communitiestourists’ preferencesrural tourismmultiple criteria decision analysisAbstract Social media analysis is a powerful tool for tourism research that, at a relatively low cost, can be used to manage and process large datasets of comments, ratings, and shares from different online communities. However, the heterogeneous nature of unsolicited opinions, the complexity of natural language assessment, and differences in the characteristics of social-data sources hinder the accurate assessment of preferences. Likewise, the use of solicited data sources, such as direct polling, is typically resource-intensive, time-consuming, and geographically limited. We analyze a hybrid approach that combines active polling with passive social media analysis to rate tourist experience. To this end, we present a novel multiple criteria decision analysis model for preference-extraction from solicited and unsolicited data. The proposed approach can significantly reduce the number of polls required to accurately assess the preferences of a community, especially when surveying rural destinations, which are sparsely populated geographic areas situated outside cities and towns.Escola Superior de Gestão, Hotelaria e Turismo da Universidade do Algarve2020-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582020000300007Tourism & Management Studies v.16 n.3 2020reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582020000300007Fernández-Gámez,Manuel ÁngelBendodo-Benasayag,EliasSánchez-Serrano,José RamónPestana,Maria Helenainfo:eu-repo/semantics/openAccess2024-02-06T17:29:16Zoai:scielo:S2182-84582020000300007Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:33:16.583932Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism |
title |
Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism |
spellingShingle |
Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism Fernández-Gámez,Manuel Ángel Social media analysis online communities tourists’ preferences rural tourism multiple criteria decision analysis |
title_short |
Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism |
title_full |
Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism |
title_fullStr |
Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism |
title_full_unstemmed |
Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism |
title_sort |
Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism |
author |
Fernández-Gámez,Manuel Ángel |
author_facet |
Fernández-Gámez,Manuel Ángel Bendodo-Benasayag,Elias Sánchez-Serrano,José Ramón Pestana,Maria Helena |
author_role |
author |
author2 |
Bendodo-Benasayag,Elias Sánchez-Serrano,José Ramón Pestana,Maria Helena |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Fernández-Gámez,Manuel Ángel Bendodo-Benasayag,Elias Sánchez-Serrano,José Ramón Pestana,Maria Helena |
dc.subject.por.fl_str_mv |
Social media analysis online communities tourists’ preferences rural tourism multiple criteria decision analysis |
topic |
Social media analysis online communities tourists’ preferences rural tourism multiple criteria decision analysis |
description |
Abstract Social media analysis is a powerful tool for tourism research that, at a relatively low cost, can be used to manage and process large datasets of comments, ratings, and shares from different online communities. However, the heterogeneous nature of unsolicited opinions, the complexity of natural language assessment, and differences in the characteristics of social-data sources hinder the accurate assessment of preferences. Likewise, the use of solicited data sources, such as direct polling, is typically resource-intensive, time-consuming, and geographically limited. We analyze a hybrid approach that combines active polling with passive social media analysis to rate tourist experience. To this end, we present a novel multiple criteria decision analysis model for preference-extraction from solicited and unsolicited data. The proposed approach can significantly reduce the number of polls required to accurately assess the preferences of a community, especially when surveying rural destinations, which are sparsely populated geographic areas situated outside cities and towns. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-09-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582020000300007 |
url |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582020000300007 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582020000300007 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Escola Superior de Gestão, Hotelaria e Turismo da Universidade do Algarve |
publisher.none.fl_str_mv |
Escola Superior de Gestão, Hotelaria e Turismo da Universidade do Algarve |
dc.source.none.fl_str_mv |
Tourism & Management Studies v.16 n.3 2020 reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
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1799137391901933568 |