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Sentiment analysis using a lexicon-based approach in Lisbon, Portugal

2025Journal article Open access
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dc.contributor.authorBetco, Iuria
dc.contributor.authorRibeiro, Ana Isabel
dc.contributor.authorVale, David S.
dc.contributor.authorEncalada Abarca, Luis
dc.contributor.authorViana, Cláudia M.
dc.contributor.authorRocha, Jorge
dc.date.accessioned2025-04-24T12:00:15Z
dc.date.available2025-04-24T12:00:15Z
dc.date.issued2025
dc.description.abstractAdvances in digital sensors and Information flow have created an abundance of data generated by users under various emotional states in different situations. Although this opens up a new facet in spatial research, the large amount of data makes it difficult to analyze and obtain complete and comprehensive information leading to an increase in the demand for sentiment analysis. In this study, the Canadian National Research Council (NRC) of Sentiment and Emotion Lexicon (EmoLex) was used, based on data from the social network Twitter (now X), thus enabling the identification of the places in Lisbon where both positive and negative sentiment prevails. From the results obtained, the Portuguese are happy in spaces associated with leisure and consumption, such as museums, event venues, gardens, shopping centres, stores, and restaurants. The high score of words associated with negative sentiment have more bias, since the lexicon sometimes has difficulties to identify the context in which the word appears, ending up giving it a negative score (e.g., war, terminal).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBetco, I., Ribeiro, A. I., Vale, D. S., Encalada-Abarca, L., Viana, C. M. & Rocha, J. (2025). Sentiment analysis using a lexicon-based approach in Lisbon, Portugal. Geospatial Health, 20, 1344. https://doi.org/10.4081/gh.2025.1344pt_PT
dc.identifier.doi10.4081/gh.2025.1344pt_PT
dc.identifier.issn1827-1987
dc.identifier.issn1970-7096
dc.identifier.urihttp://hdl.handle.net/10400.5/100336
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherPage Press Publicationspt_PT
dc.relationNot Available
dc.relationEpidemiology Research Unit - Institute of Public Health, University of Porto
dc.relationLaboratory for Integrative and Translational Research in Population Health
dc.relation.publisherversionhttps://www.geospatialhealth.net/gh/article/view/1344pt_PT
dc.subjectSentiment analysispt_PT
dc.subjectLexicon approachpt_PT
dc.subjectTwitterpt_PT
dc.subjectEmotionpt_PT
dc.subjectLisbonpt_PT
dc.titleSentiment analysis using a lexicon-based approach in Lisbon, Portugalpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleNot Available
oaire.awardTitleEpidemiology Research Unit - Institute of Public Health, University of Porto
oaire.awardTitleLaboratory for Integrative and Translational Research in Population Health
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//2022.11665.BD/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC IND 2018/CEECIND%2F02386%2F2018%2FCP1538%2FCT0001/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Base/UIDB%2F00295%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Programático/UIDP%2F00295%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04750%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0064%2F2020/PT
oaire.citation.issue1pt_PT
oaire.citation.startPage1344pt_PT
oaire.citation.titleGeospatial Healthpt_PT
oaire.citation.volume20pt_PT
oaire.fundingStreamCEEC IND 2018
oaire.fundingStreamConcurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017/2018) - Financiamento Base
oaire.fundingStreamConcurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017/2018) - Financiamento Programático
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameBetco
person.familyNameEncalada Abarca
person.familyNameM. Viana
person.familyNameRocha
person.givenNameIuria
person.givenNameLuis
person.givenNameCláudia
person.givenNameJorge
person.identifier0000000069085031
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person.identifier.ciencia-idF714-E3E8-FA62
person.identifier.ciencia-id0712-B263-3133
person.identifier.ciencia-idEC15-76DC-9B96
person.identifier.orcid0000-0001-8714-686X
person.identifier.orcid0000-0002-7163-2641
person.identifier.orcid0000-0001-6858-4522
person.identifier.orcid0000-0002-7228-6330
person.identifier.ridT-4549-2019
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person.identifier.ridF-3185-2017
person.identifier.scopus-author-id57199394866
person.identifier.scopus-author-id57200209862
person.identifier.scopus-author-id56428061000
project.funder.identifierhttp://doi.org/10.13039/501100001871
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project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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