The application of Anna Karenina principle on restaurants online reviews: a Portuguese case study
Autor(a) principal: | |
---|---|
Data de Publicação: | 2024 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/164638 |
Resumo: | Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence |
id |
RCAP_40c1738ba57bcea10de5b03634874eb8 |
---|---|
oai_identifier_str |
oai:run.unl.pt:10362/164638 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
The application of Anna Karenina principle on restaurants online reviews: a Portuguese case studyAnna Karenina PrincipleTopic ModellingSentiment AnalysisPortuguese restaurantsTripAdvisorDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da InformaçãoDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceAfter an experience with a service or product, consumers tend to share their impressions online. For companies is crucial to keep track of this information by collecting and analyzing it. Due to the large volume, unstructured nature, and emotional polarity, online reviews require automatic analytical treatment. Text mining, topic modelling, and sentiment analysis are challenging approaches to handle the need to obtain knowledge from online reviews. However, in this context, questions may arise regarding the efficiency of the automatic interpretation of online reviews. The main objective of this study is to understand if the effect of TAK (The Anna Karenina) principle is observed in online reviews of Portuguese restaurants collected from TripAdvisor. We used methods such as Latent Dirichlet Allocation and Sentiment Analysis. TAK principle is applied in different areas, so on the one hand it can be considered universal for any context. Nevertheless, it is important to note that the principle was formed recently, and it is only at the beginning of its path of application. Further studies are needed to test whether TAK principle is verified in various contexts and if it is confirmed it would mean that the TAK limits the application of topical analysis when the nature of the data has great variability, that is, mostly customer dissatisfaction topics. This study contributes to important discoveries that have managerial implications in the sense of proposing specific strategies and approaches that can improve the customer experience, and theoretically by contributing to the universality of TAK principle.Pinheiro, Flávio Luís PortasRUNMukhacheva, Mariya Igorivna2024-03-08T11:32:24Z2024-01-312024-01-31T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/164638TID:203543769enginfo: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:RCAAP2024-03-11T05:53:39Zoai:run.unl.pt:10362/164638Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T04:00:18.049902Repositório 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 |
The application of Anna Karenina principle on restaurants online reviews: a Portuguese case study |
title |
The application of Anna Karenina principle on restaurants online reviews: a Portuguese case study |
spellingShingle |
The application of Anna Karenina principle on restaurants online reviews: a Portuguese case study Mukhacheva, Mariya Igorivna Anna Karenina Principle Topic Modelling Sentiment Analysis Portuguese restaurants TripAdvisor Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação |
title_short |
The application of Anna Karenina principle on restaurants online reviews: a Portuguese case study |
title_full |
The application of Anna Karenina principle on restaurants online reviews: a Portuguese case study |
title_fullStr |
The application of Anna Karenina principle on restaurants online reviews: a Portuguese case study |
title_full_unstemmed |
The application of Anna Karenina principle on restaurants online reviews: a Portuguese case study |
title_sort |
The application of Anna Karenina principle on restaurants online reviews: a Portuguese case study |
author |
Mukhacheva, Mariya Igorivna |
author_facet |
Mukhacheva, Mariya Igorivna |
author_role |
author |
dc.contributor.none.fl_str_mv |
Pinheiro, Flávio Luís Portas RUN |
dc.contributor.author.fl_str_mv |
Mukhacheva, Mariya Igorivna |
dc.subject.por.fl_str_mv |
Anna Karenina Principle Topic Modelling Sentiment Analysis Portuguese restaurants TripAdvisor Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação |
topic |
Anna Karenina Principle Topic Modelling Sentiment Analysis Portuguese restaurants TripAdvisor Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação |
description |
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-03-08T11:32:24Z 2024-01-31 2024-01-31T00:00:00Z |
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/10362/164638 TID:203543769 |
url |
http://hdl.handle.net/10362/164638 |
identifier_str_mv |
TID:203543769 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
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 |
|
_version_ |
1799138178549940224 |