Discovering Patterns in Online Reviews of Beijing and Lisbon Hostels

Detalhes bibliográficos
Autor(a) principal: Brochado, Ana
Data de Publicação: 2019
Outros Autores: Rita, Paulo, Moro, Sérgio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/146061
Resumo: Brochado, A., Rita, P., & Moro, S. (2019). Discovering Patterns in Online Reviews of Beijing and Lisbon Hostels. Journal of China Tourism Research, 15(2), 172-191. https://doi.org/10.1080/19388160.2018.1543065
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spelling Discovering Patterns in Online Reviews of Beijing and Lisbon HostelsBeijingdata mininghostelsLisbononline reviewsService qualityCultural StudiesLanguage and LinguisticsLinguistics and LanguageTourism, Leisure and Hospitality ManagementBrochado, A., Rita, P., & Moro, S. (2019). Discovering Patterns in Online Reviews of Beijing and Lisbon Hostels. Journal of China Tourism Research, 15(2), 172-191. https://doi.org/10.1080/19388160.2018.1543065This study employed a data mining approach to model the quantitative scores given to hostels located in Beijing, China, and Lisbon, Portugal, in guests’ online reviews posted on Booking.com. A neural network was built using a total of nine input features (e.g. age, most and least favorite aspects, travel and traveler types, nationality, hostel, and month and weekday of review) to model the score distributions. Each feature’s contribution to the scores was then extracted through data-based sensitivity analysis. The most favorite aspect and continent of origin were the two most significant features for hostels in both cities. Lisbon guests were also highly influenced by the hostel itself and traveler type as compared with Beijing travelers. Notably, facilities are the most favorite aspect valued by guests staying in Lisbon, while those that stay in Beijing hostels give more importance to value for money. These findings denote different guest behaviors are associated with each city’s particular offerings.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNBrochado, AnaRita, PauloMoro, Sérgio2022-12-07T22:06:31Z2019-04-012019-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article20application/pdfhttp://hdl.handle.net/10362/146061eng1938-8160PURE: 6600713https://doi.org/10.1080/19388160.2018.1543065info: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:RCAAP2024-03-11T05:27:01Zoai:run.unl.pt:10362/146061Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:52:27.331141Repositório 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 Discovering Patterns in Online Reviews of Beijing and Lisbon Hostels
title Discovering Patterns in Online Reviews of Beijing and Lisbon Hostels
spellingShingle Discovering Patterns in Online Reviews of Beijing and Lisbon Hostels
Brochado, Ana
Beijing
data mining
hostels
Lisbon
online reviews
Service quality
Cultural Studies
Language and Linguistics
Linguistics and Language
Tourism, Leisure and Hospitality Management
title_short Discovering Patterns in Online Reviews of Beijing and Lisbon Hostels
title_full Discovering Patterns in Online Reviews of Beijing and Lisbon Hostels
title_fullStr Discovering Patterns in Online Reviews of Beijing and Lisbon Hostels
title_full_unstemmed Discovering Patterns in Online Reviews of Beijing and Lisbon Hostels
title_sort Discovering Patterns in Online Reviews of Beijing and Lisbon Hostels
author Brochado, Ana
author_facet Brochado, Ana
Rita, Paulo
Moro, Sérgio
author_role author
author2 Rita, Paulo
Moro, Sérgio
author2_role author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Brochado, Ana
Rita, Paulo
Moro, Sérgio
dc.subject.por.fl_str_mv Beijing
data mining
hostels
Lisbon
online reviews
Service quality
Cultural Studies
Language and Linguistics
Linguistics and Language
Tourism, Leisure and Hospitality Management
topic Beijing
data mining
hostels
Lisbon
online reviews
Service quality
Cultural Studies
Language and Linguistics
Linguistics and Language
Tourism, Leisure and Hospitality Management
description Brochado, A., Rita, P., & Moro, S. (2019). Discovering Patterns in Online Reviews of Beijing and Lisbon Hostels. Journal of China Tourism Research, 15(2), 172-191. https://doi.org/10.1080/19388160.2018.1543065
publishDate 2019
dc.date.none.fl_str_mv 2019-04-01
2019-04-01T00:00:00Z
2022-12-07T22:06:31Z
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/10362/146061
url http://hdl.handle.net/10362/146061
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1938-8160
PURE: 6600713
https://doi.org/10.1080/19388160.2018.1543065
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 20
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
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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