Exploring user-generated content for improving destination knowledge
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://hdl.handle.net/10362/108043 |
Resumo: | Antonio, N., Correia, M. B., & Ribeiro, F. P. (2020). Exploring user-generated content for improving destination knowledge: The case of two world heritage cities. Sustainability (Switzerland), 12(22), 1-19. [9654]. https://doi.org/10.3390/su12229654 |
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Exploring user-generated content for improving destination knowledgeThe case of two world heritage citiesData scienceEWOMSentiment analysisText miningUNESCO heritage sitesUser-generated contentGeography, Planning and DevelopmentRenewable Energy, Sustainability and the EnvironmentManagement, Monitoring, Policy and LawSDG 7 - Affordable and Clean EnergyAntonio, N., Correia, M. B., & Ribeiro, F. P. (2020). Exploring user-generated content for improving destination knowledge: The case of two world heritage cities. Sustainability (Switzerland), 12(22), 1-19. [9654]. https://doi.org/10.3390/su12229654This study explores two World Heritage Sites (WHS) as tourism destinations by applying several uncommon techniques in these settings: Smart Tourism Analytics, namely Text mining, Sentiment Analysis, and Market Basket Analysis, to highlight patterns according to attraction, nationality, and repeated visits. Salamanca (Spain) and Coimbra (Portugal) are analyzed and compared based on 8,638 online travel reviews (OTR), from TripAdvisor (2017–2018). Findings show that WHS reputation does not seem to be relevant to visitors-reviewers. Additionally, keyword extraction reveals that the reviews do not differ from language to language or from city to city, and it was also possible to identify several keywords related to history and heritage; in particular, architectural styles, names of kings, and places. The study identifies topics that could be used by destination management organizations to promote these cities, highlights the advantages of applying a data science approach, and confirms the rich information value of OTRs as a tool to (re)position the destination according to smart tourism design tenets.Information Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)RUNAntónio, NunoCorreia, Marisol B.Ribeiro, Filipa Perdigão2020-11-30T23:59:09Z2020-11-022020-11-02T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article19application/pdfhttp://hdl.handle.net/10362/108043eng2071-1050PURE: 26637103https://doi.org/10.3390/su12229654info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:52:41Zoai:run.unl.pt:10362/108043Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:41:07.144223Repositório 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 |
Exploring user-generated content for improving destination knowledge The case of two world heritage cities |
title |
Exploring user-generated content for improving destination knowledge |
spellingShingle |
Exploring user-generated content for improving destination knowledge António, Nuno Data science EWOM Sentiment analysis Text mining UNESCO heritage sites User-generated content Geography, Planning and Development Renewable Energy, Sustainability and the Environment Management, Monitoring, Policy and Law SDG 7 - Affordable and Clean Energy |
title_short |
Exploring user-generated content for improving destination knowledge |
title_full |
Exploring user-generated content for improving destination knowledge |
title_fullStr |
Exploring user-generated content for improving destination knowledge |
title_full_unstemmed |
Exploring user-generated content for improving destination knowledge |
title_sort |
Exploring user-generated content for improving destination knowledge |
author |
António, Nuno |
author_facet |
António, Nuno Correia, Marisol B. Ribeiro, Filipa Perdigão |
author_role |
author |
author2 |
Correia, Marisol B. Ribeiro, Filipa Perdigão |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Information Management Research Center (MagIC) - NOVA Information Management School NOVA Information Management School (NOVA IMS) RUN |
dc.contributor.author.fl_str_mv |
António, Nuno Correia, Marisol B. Ribeiro, Filipa Perdigão |
dc.subject.por.fl_str_mv |
Data science EWOM Sentiment analysis Text mining UNESCO heritage sites User-generated content Geography, Planning and Development Renewable Energy, Sustainability and the Environment Management, Monitoring, Policy and Law SDG 7 - Affordable and Clean Energy |
topic |
Data science EWOM Sentiment analysis Text mining UNESCO heritage sites User-generated content Geography, Planning and Development Renewable Energy, Sustainability and the Environment Management, Monitoring, Policy and Law SDG 7 - Affordable and Clean Energy |
description |
Antonio, N., Correia, M. B., & Ribeiro, F. P. (2020). Exploring user-generated content for improving destination knowledge: The case of two world heritage cities. Sustainability (Switzerland), 12(22), 1-19. [9654]. https://doi.org/10.3390/su12229654 |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-11-30T23:59:09Z 2020-11-02 2020-11-02T00:00:00Z |
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://hdl.handle.net/10362/108043 |
url |
http://hdl.handle.net/10362/108043 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2071-1050 PURE: 26637103 https://doi.org/10.3390/su12229654 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
19 application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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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 |
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1799138024718598144 |