Insights from sentiment analysis to leverage local tourism business in restaurants

Detalhes bibliográficos
Autor(a) principal: Yu, Ting
Data de Publicação: 2021
Outros Autores: Rita, Paulo, Moro, Sérgio, Oliveira, Cristina
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/128468
Resumo: Yu, T., Rita, P., Moro, S., & Oliveira, C. (2021). Insights from sentiment analysis to leverage local tourism business in restaurants. International Journal of Culture, Tourism, and Hospitality Research. https://doi.org/10.1108/IJCTHR-02-2021-0037 --------------------------------------------- Funding Information: The work by S. Moro and C.Oliveira was partially funded by national funds through FCT ‐ Fundação para a Ciência e Tecnologia, I.P., under the project FCT UIDB/04466/2020. The work by P. Rita was partially funded by national funds through FCT ‐ Fundação para a Ciência e Tecnologia, I.P., under the project FCT UIDB/04152/2020 ‐ Centro de Investigação em Gestão de Informação (MagIC). Publisher Copyright: © 2021, Emerald Publishing Limited.
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spelling Insights from sentiment analysis to leverage local tourism business in restaurantsGiethoornLexalyticsOnline reviewsRestaurant businessSentiment classificationSocial mediaText miningGeography, Planning and DevelopmentTourism, Leisure and Hospitality ManagementYu, T., Rita, P., Moro, S., & Oliveira, C. (2021). Insights from sentiment analysis to leverage local tourism business in restaurants. International Journal of Culture, Tourism, and Hospitality Research. https://doi.org/10.1108/IJCTHR-02-2021-0037 --------------------------------------------- Funding Information: The work by S. Moro and C.Oliveira was partially funded by national funds through FCT ‐ Fundação para a Ciência e Tecnologia, I.P., under the project FCT UIDB/04466/2020. The work by P. Rita was partially funded by national funds through FCT ‐ Fundação para a Ciência e Tecnologia, I.P., under the project FCT UIDB/04152/2020 ‐ Centro de Investigação em Gestão de Informação (MagIC). Publisher Copyright: © 2021, Emerald Publishing Limited.Purpose: Social media has become the main venue for users to express their opinions and feelings, generating a vast number of available and valuable data to be scrutinized by researchers and marketers. This paper aims to extend previous studies analyzing social media reviews through text mining and sentiment analysis to provide useful recommendations for management in the restaurant industry. Design/methodology/approach: The Lexalytics, a text mining artificial intelligence tool, is applied to analyze the text of the online reviews of the restaurants in a touristic Dutch village extracted from the most frequently used social media platforms focusing on the four restaurant quality factors, namely, food and beverage, service, atmosphere and value. Findings: The findings of this research are presented by the identified key themes with comparisons of the customers’ review sentiment between a selected restaurant, Zwaantje, vis-à-vis its bench-mark restaurants set by a specific approach under the abovementioned quality dimensions, in which the food and beverage and service are the most commented by customers. Results demonstrate that text mining can generate insights from different aspects and that the proposed approach is valuable to restaurant management. Originality/value: The paper provides a relatively big scale in numbers and resources of social media reviews to further explore the most important service dimensions in the restaurant industry in a specific tourist area. It also offers a useful framework to apply the text mining business intelligence tool by comparison of peers for local small business restaurant practitioners to improve their management skills beyond manually reading social media reviews.Information Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)RUNYu, TingRita, PauloMoro, SérgioOliveira, Cristina2021-11-29T23:40:02Z2022-07-012022-07-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article16application/pdfhttp://hdl.handle.net/10362/128468eng1750-6182PURE: 35107832https://doi.org/10.1108/IJCTHR-02-2021-0037info: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:RCAAP2024-03-11T05:08:03Zoai:run.unl.pt:10362/128468Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:46:18.979462Repositório 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 Insights from sentiment analysis to leverage local tourism business in restaurants
title Insights from sentiment analysis to leverage local tourism business in restaurants
spellingShingle Insights from sentiment analysis to leverage local tourism business in restaurants
Yu, Ting
Giethoorn
Lexalytics
Online reviews
Restaurant business
Sentiment classification
Social media
Text mining
Geography, Planning and Development
Tourism, Leisure and Hospitality Management
title_short Insights from sentiment analysis to leverage local tourism business in restaurants
title_full Insights from sentiment analysis to leverage local tourism business in restaurants
title_fullStr Insights from sentiment analysis to leverage local tourism business in restaurants
title_full_unstemmed Insights from sentiment analysis to leverage local tourism business in restaurants
title_sort Insights from sentiment analysis to leverage local tourism business in restaurants
author Yu, Ting
author_facet Yu, Ting
Rita, Paulo
Moro, Sérgio
Oliveira, Cristina
author_role author
author2 Rita, Paulo
Moro, Sérgio
Oliveira, Cristina
author2_role author
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 Yu, Ting
Rita, Paulo
Moro, Sérgio
Oliveira, Cristina
dc.subject.por.fl_str_mv Giethoorn
Lexalytics
Online reviews
Restaurant business
Sentiment classification
Social media
Text mining
Geography, Planning and Development
Tourism, Leisure and Hospitality Management
topic Giethoorn
Lexalytics
Online reviews
Restaurant business
Sentiment classification
Social media
Text mining
Geography, Planning and Development
Tourism, Leisure and Hospitality Management
description Yu, T., Rita, P., Moro, S., & Oliveira, C. (2021). Insights from sentiment analysis to leverage local tourism business in restaurants. International Journal of Culture, Tourism, and Hospitality Research. https://doi.org/10.1108/IJCTHR-02-2021-0037 --------------------------------------------- Funding Information: The work by S. Moro and C.Oliveira was partially funded by national funds through FCT ‐ Fundação para a Ciência e Tecnologia, I.P., under the project FCT UIDB/04466/2020. The work by P. Rita was partially funded by national funds through FCT ‐ Fundação para a Ciência e Tecnologia, I.P., under the project FCT UIDB/04152/2020 ‐ Centro de Investigação em Gestão de Informação (MagIC). Publisher Copyright: © 2021, Emerald Publishing Limited.
publishDate 2021
dc.date.none.fl_str_mv 2021-11-29T23:40:02Z
2022-07-01
2022-07-01T00:00:00Z
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/10362/128468
url http://hdl.handle.net/10362/128468
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1750-6182
PURE: 35107832
https://doi.org/10.1108/IJCTHR-02-2021-0037
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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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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