Publicação
From reviews to emotions: analysing Bragança’s tourism attractions on TripAdvisor
| Resumo: | Over the past decade, sentiment analysis has emerged as a pivotal tool in tourism-related texts, driven by the sheer volume of tourist attractions and the wealth of online information. Tourists increasingly turn to travel websites to access specific information that often eludes standard evaluations of tourist attractions. Forums particularly illuminate specific information needs and their ties to potential destinations. Among these platforms, TripAdvisor has become a favoured choice for posting reviews, ratings, and facilitating online bookings. In this context, this study aims to analyse and assess sentiment in reviews sourced from the online platform TripAdvisor, focusing on tourist attractions in the northern Portuguese destination of Bragança. The research spotlights the disparity between qualitative and quantitative rankings. The study also underscores the importance of data pre-processing, including removing irrelevant information and stop words. Pre-processing was crucial in refining sentiment prediction accuracy, highlighting the differentiated roles of these words in context and meaning. Despite utilising advanced techniques such as tokenisation, TF-IDF weighting, logistic regression, and n-grams, the study‘s models encountered challenges in achieving high accuracy in sentiment prediction. Even the incorporation of bigrams did not yield substantial performance improvements, with the models frequently inclined to overestimate negative and positive sentiments. |
|---|---|
| Autores principais: | Scalabrini, E.C.B. |
| Outros Autores: | Ferreira, Jessica; Fernandes, Paula Odete; Moraes, Thiago |
| Assunto: | Qualitative reviews Quantitative ranking Sentimental analysis TripAdvisor Reviews |
| Ano: | 2024 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| _version_ | 1867172854028566528 |
|---|---|
| author | Scalabrini, E.C.B. |
| author2 | Ferreira, Jessica Fernandes, Paula Odete Moraes, Thiago |
| author2_role | author author author |
| author_facet | Scalabrini, E.C.B. Ferreira, Jessica Fernandes, Paula Odete Moraes, Thiago |
| author_role | author |
| contributor_name_str_mv | Biblioteca Digital do IPB |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Scalabrini, E.C.B.\",\"Person.identifier.orcid\":\"0000-0001-7164-2471\"},{\"Person.name\":\"Ferreira, Jessica\",\"Person.identifier.orcid\":\"0000-0002-4141-6702\"},{\"Person.name\":\"Fernandes, Paula Odete\",\"Person.identifier.orcid\":\"0000-0001-8714-4901\"},{\"Person.name\":\"Moraes, Thiago\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Biblioteca Digital do IPB |
| datacite.creators.creator.creatorName.fl_str_mv | Scalabrini, E.C.B. Ferreira, Jessica Fernandes, Paula Odete Moraes, Thiago |
| datacite.date.Accepted.fl_str_mv | 2024-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2025-01-29T14:13:31Z |
| datacite.date.embargoed.fl_str_mv | 2025-01-29T14:13:31Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Qualitative reviews Quantitative ranking Sentimental analysis TripAdvisor Reviews |
| datacite.titles.title.fl_str_mv | From reviews to emotions: analysing Bragança’s tourism attractions on TripAdvisor |
| dc.contributor.none.fl_str_mv | Biblioteca Digital do IPB |
| dc.creator.none.fl_str_mv | Scalabrini, E.C.B. Ferreira, Jessica Fernandes, Paula Odete Moraes, Thiago |
| dc.date.Accepted.fl_str_mv | 2024-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2025-01-29T14:13:31Z |
| dc.date.embargoed.fl_str_mv | 2025-01-29T14:13:31Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/31092 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | De Gruyter Poland |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Qualitative reviews Quantitative ranking Sentimental analysis TripAdvisor Reviews |
| dc.title.fl_str_mv | From reviews to emotions: analysing Bragança’s tourism attractions on TripAdvisor |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | Over the past decade, sentiment analysis has emerged as a pivotal tool in tourism-related texts, driven by the sheer volume of tourist attractions and the wealth of online information. Tourists increasingly turn to travel websites to access specific information that often eludes standard evaluations of tourist attractions. Forums particularly illuminate specific information needs and their ties to potential destinations. Among these platforms, TripAdvisor has become a favoured choice for posting reviews, ratings, and facilitating online bookings. In this context, this study aims to analyse and assess sentiment in reviews sourced from the online platform TripAdvisor, focusing on tourist attractions in the northern Portuguese destination of Bragança. The research spotlights the disparity between qualitative and quantitative rankings. The study also underscores the importance of data pre-processing, including removing irrelevant information and stop words. Pre-processing was crucial in refining sentiment prediction accuracy, highlighting the differentiated roles of these words in context and meaning. Despite utilising advanced techniques such as tokenisation, TF-IDF weighting, logistic regression, and n-grams, the study‘s models encountered challenges in achieving high accuracy in sentiment prediction. Even the incorporation of bigrams did not yield substantial performance improvements, with the models frequently inclined to overestimate negative and positive sentiments. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://bibliotecadigital.ipb.pt/bitstreams/c4c034a2-e785-4ff4-882e-670ecdf82f3f/download |
| funding.funder.alternateName_str_mv | FCT FCT |
| funding.funder.identifier_str_mv | http://doi.org/10.13039/501100001871 http://doi.org/10.13039/501100001871 |
| funding.funder.name_str_mv | Fundação para a Ciência e a Tecnologia Fundação para a Ciência e a Tecnologia |
| funding.name_str_mv | 6817 - DCRRNI ID 6817 - DCRRNI ID |
| id | ipb_7d2bef9d58c2de192c0a0df61fb1c0ab |
| identifier.url.fl_str_mv | http://hdl.handle.net/10198/31092 |
| instacron_str | ipb |
| institution | Instituto Politécnico de Bragança |
| instname_str | Instituto Politécnico de Bragança |
| language | eng |
| network_acronym_str | ipb |
| network_name_str | Biblioteca Digital do IPB |
| oai_identifier_str | oai:bibliotecadigital.ipb.pt:10198/31092 |
| organization_str_mv | urn:organizationAcronym:ipb |
| person_str_mv | Scalabrini, E.C.B. Scalabrini, E.C.B. https://www.ciencia-id.pt/C215-238E-B5E1 C215-238E-B5E1 http://orcid.org/0000-0001-7164-2471 0000-0001-7164-2471 Ferreira, Jessica Ferreira, Jessica https://www.ciencia-id.pt/7A15-9500-44E4 7A15-9500-44E4 http://orcid.org/0000-0002-4141-6702 0000-0002-4141-6702 Fernandes, Paula Odete Fernandes, Paula Odete https://www.ciencia-id.pt/991D-9D1E-D67D 991D-9D1E-D67D http://orcid.org/0000-0001-8714-4901 0000-0001-8714-4901 Moraes, Thiago |
| publishDate | 2024 |
| publisher.none.fl_str_mv | De Gruyter Poland |
| reponame_str | Biblioteca Digital do IPB |
| repository_id_str | urn:repositoryAcronym:ipb |
| service_str_mv | urn:repositoryAcronym:ipb |
| spelling | engDe Gruyter Polandpt_PTOver the past decade, sentiment analysis has emerged as a pivotal tool in tourism-related texts, driven by the sheer volume of tourist attractions and the wealth of online information. Tourists increasingly turn to travel websites to access specific information that often eludes standard evaluations of tourist attractions. Forums particularly illuminate specific information needs and their ties to potential destinations. Among these platforms, TripAdvisor has become a favoured choice for posting reviews, ratings, and facilitating online bookings. In this context, this study aims to analyse and assess sentiment in reviews sourced from the online platform TripAdvisor, focusing on tourist attractions in the northern Portuguese destination of Bragança. The research spotlights the disparity between qualitative and quantitative rankings. The study also underscores the importance of data pre-processing, including removing irrelevant information and stop words. Pre-processing was crucial in refining sentiment prediction accuracy, highlighting the differentiated roles of these words in context and meaning. Despite utilising advanced techniques such as tokenisation, TF-IDF weighting, logistic regression, and n-grams, the study‘s models encountered challenges in achieving high accuracy in sentiment prediction. Even the incorporation of bigrams did not yield substantial performance improvements, with the models frequently inclined to overestimate negative and positive sentiments.application/pdfpt_PTFrom reviews to emotions: analysing Bragança’s tourism attractions on TripAdvisorPersonalScalabrini, E.C.B.DSpacehttp://dspace.org/items/1b00625e-3454-47d8-8ab5-016f90c9d7e2DSpacehttp://dspace.org/items/1b00625e-3454-47d8-8ab5-016f90c9d7e2ScalabriniElaine C.B.Ciência IDhttps://www.ciencia-id.ptC215-238E-B5E1ORCIDhttp://orcid.org0000-0001-7164-2471Scopus Author IDhttps://www.scopus.com57219651339PersonalFerreira, JessicaDSpacehttp://dspace.org/items/62d87d26-8945-41ec-bc3a-cf618fd3f2fcDSpacehttp://dspace.org/items/62d87d26-8945-41ec-bc3a-cf618fd3f2fcFerreiraJessicaCiência IDhttps://www.ciencia-id.pt7A15-9500-44E4ORCIDhttp://orcid.org0000-0002-4141-6702Scopus Author IDhttps://www.scopus.com57204795793PersonalFernandes, Paula OdeteDSpacehttp://dspace.org/items/2269147c-2b53-4d1c-bc1b-f1367d197262DSpacehttp://dspace.org/items/2269147c-2b53-4d1c-bc1b-f1367d197262FernandesPaula OdeteCiência IDhttps://www.ciencia-id.pt991D-9D1E-D67DORCIDhttp://orcid.org0000-0001-8714-4901Scopus Author IDhttps://www.scopus.com35200741800Moraes, ThiagoHostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptISSNIsPartOf2182-4924DOIIsPartOf10.2478/ejthr-2024-00222025-01-29T14:13:31Z20242024-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/31092http://purl.org/coar/access_right/c_abf2open accessQualitative reviewsQuantitative rankingSentimental analysisTripAdvisorReviews1635741 bytesFundação para a Ciência e a TecnologiaApplied Management Research Unit6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871Fundação para a Ciência e a TecnologiaApplied Management Research Unit6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871literaturehttp://purl.org/coar/resource_type/c_6501journal article2024http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/c4c034a2-e785-4ff4-882e-670ecdf82f3f/downloadEuropean Journal of Tourism, Hospitality and Recreation142299311 |
| spellingShingle | From reviews to emotions: analysing Bragança’s tourism attractions on TripAdvisor Scalabrini, E.C.B. Qualitative reviews Quantitative ranking Sentimental analysis TripAdvisor Reviews |
| status | SINGLETON |
| subject.fl_str_mv | Qualitative reviews Quantitative ranking Sentimental analysis TripAdvisor Reviews |
| title | From reviews to emotions: analysing Bragança’s tourism attractions on TripAdvisor |
| title_full | From reviews to emotions: analysing Bragança’s tourism attractions on TripAdvisor |
| title_fullStr | From reviews to emotions: analysing Bragança’s tourism attractions on TripAdvisor |
| title_full_unstemmed | From reviews to emotions: analysing Bragança’s tourism attractions on TripAdvisor |
| title_short | From reviews to emotions: analysing Bragança’s tourism attractions on TripAdvisor |
| title_sort | From reviews to emotions: analysing Bragança’s tourism attractions on TripAdvisor |
| topic | Qualitative reviews Quantitative ranking Sentimental analysis TripAdvisor Reviews |
| topic_facet | Qualitative reviews Quantitative ranking Sentimental analysis TripAdvisor Reviews |
| url | http://hdl.handle.net/10198/31092 |
| visible | 1 |