Finding Blue Oceans in Tourism: Using Text Mining to Identify Business Opportunities in Tourism

Detalhes bibliográficos
Autor(a) principal: Nogueira, Samira dos Santos
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/123476
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Marketing Research and CRM
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spelling Finding Blue Oceans in Tourism: Using Text Mining to Identify Business Opportunities in TourismData scienceSentiment analysisBlue oceanText miningTourismDissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Marketing Research and CRMThe amount of data produced and available are bringing innovation to well know areas. One of them is Tourism for which the use of big data is particularly useful to offer ever more personalized options to travelers. The main type of data that influence consumers preference and decisions are online reviews made in specialized websites or social networks. That happens because consumers tend to take into consideration the opinions and reviews of other travelers before deciding on a destination or where to stay. In this study, a sentiment analysis of more than 1,300 reviews retrieved from TripAdvisor shows what the main attributes that predict positive and negative online reviews are. Naïve Bayes was used as an algorithm and given a result of 75% of accuracy on the sentiment analysis. The next step was complementing the sentiment analysis by using the results to build a Blue Ocean-inspired strategy that speaks to practitioners in the sector of tourism and hospitality. The findings indicate that the targeted factors for improvement are developing venues for events, establishing a feeling of safety for consumers, and fostering brand attachment.Pinto, Diego CostaCastelli, MauroRUNNogueira, Samira dos Santos2021-08-31T15:10:38Z2021-06-302021-06-30T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/123476TID:202759563enginfo: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:RCAAP2024-03-11T05:04:49Zoai:run.unl.pt:10362/123476Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:45:04.106333Repositório 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 Finding Blue Oceans in Tourism: Using Text Mining to Identify Business Opportunities in Tourism
title Finding Blue Oceans in Tourism: Using Text Mining to Identify Business Opportunities in Tourism
spellingShingle Finding Blue Oceans in Tourism: Using Text Mining to Identify Business Opportunities in Tourism
Nogueira, Samira dos Santos
Data science
Sentiment analysis
Blue ocean
Text mining
Tourism
title_short Finding Blue Oceans in Tourism: Using Text Mining to Identify Business Opportunities in Tourism
title_full Finding Blue Oceans in Tourism: Using Text Mining to Identify Business Opportunities in Tourism
title_fullStr Finding Blue Oceans in Tourism: Using Text Mining to Identify Business Opportunities in Tourism
title_full_unstemmed Finding Blue Oceans in Tourism: Using Text Mining to Identify Business Opportunities in Tourism
title_sort Finding Blue Oceans in Tourism: Using Text Mining to Identify Business Opportunities in Tourism
author Nogueira, Samira dos Santos
author_facet Nogueira, Samira dos Santos
author_role author
dc.contributor.none.fl_str_mv Pinto, Diego Costa
Castelli, Mauro
RUN
dc.contributor.author.fl_str_mv Nogueira, Samira dos Santos
dc.subject.por.fl_str_mv Data science
Sentiment analysis
Blue ocean
Text mining
Tourism
topic Data science
Sentiment analysis
Blue ocean
Text mining
Tourism
description Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Marketing Research and CRM
publishDate 2021
dc.date.none.fl_str_mv 2021-08-31T15:10:38Z
2021-06-30
2021-06-30T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/123476
TID:202759563
url http://hdl.handle.net/10362/123476
identifier_str_mv TID:202759563
dc.language.iso.fl_str_mv eng
language eng
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eu_rights_str_mv openAccess
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