Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism

Detalhes bibliográficos
Autor(a) principal: Fernández-Gámez, Manuel Angel
Data de Publicação: 2020
Outros Autores: Bendodo-Benasayag, Elias, Sánchez.Serrano, José Ramón, Pestana, Maria Helena
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://tmstudies.net/index.php/ectms/article/view/1331
Resumo: 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. However, 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.
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spelling Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourismSocial media analysisonline communitiestourists’ preferencesrural tourismmultiple criteria decision analysisSocial 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. However, 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.University of Algarve2020-07-31info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://tmstudies.net/index.php/ectms/article/view/1331Revista Encontros Científicos - Tourism & Management Studies; v. 16 n. 3 (2020); 7-13Tourism & Management Studies; Vol. 16 N.º 3 (2020); 7-13Tourism & Management Studies; Vol. 16 No. 3 (2020); 7-13Revista Encontros Científicos - Tourism & Management Studies; Vol. 16 Núm. 3 (2020); 7-132182-8466reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttps://tmstudies.net/index.php/ectms/article/view/1331https://tmstudies.net/index.php/ectms/article/view/1331/pdf_246Copyright (c) 2020 Tourism & Management Studiesinfo:eu-repo/semantics/openAccessFernández-Gámez, Manuel AngelBendodo-Benasayag, EliasSánchez.Serrano, José RamónPestana, Maria Helena2024-01-17T15:29:47Zoai:ojs.pkp.sfu.ca:article/1331Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:56:32.722631Repositório 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 Angel
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 Angel
author_facet Fernández-Gámez, Manuel Angel
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 Angel
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 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. However, 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.
publishDate 2020
dc.date.none.fl_str_mv 2020-07-31
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 https://tmstudies.net/index.php/ectms/article/view/1331
url https://tmstudies.net/index.php/ectms/article/view/1331
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://tmstudies.net/index.php/ectms/article/view/1331
https://tmstudies.net/index.php/ectms/article/view/1331/pdf_246
dc.rights.driver.fl_str_mv Copyright (c) 2020 Tourism & Management Studies
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Tourism & Management Studies
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv University of Algarve
publisher.none.fl_str_mv University of Algarve
dc.source.none.fl_str_mv Revista Encontros Científicos - Tourism & Management Studies; v. 16 n. 3 (2020); 7-13
Tourism & Management Studies; Vol. 16 N.º 3 (2020); 7-13
Tourism & Management Studies; Vol. 16 No. 3 (2020); 7-13
Revista Encontros Científicos - Tourism & Management Studies; Vol. 16 Núm. 3 (2020); 7-13
2182-8466
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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