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A Multilingual Lexicon-based Approach for Sentiment Analysis in Social and Cultural Information System Data

2021-06-24Conference object Open access
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dc.contributor.authorJardim, Sandra
dc.contributor.authorMora, Carlos
dc.contributor.authorSantana, Tiago
dc.date.accessioned2021-10-08T18:31:41Z
dc.date.available2022-04-30T00:30:24Z
dc.date.issued2021-06-24
dc.date.updated2021-10-08T14:40:28Z
dc.description.abstractSentiment analysis, also known as opinion mining, has become ubiquitous in our society, with applications in online searching, computer vision, image understanding, artificial intelligence and marketing communications. In this paper, is described an unsupervised automatic method of multilingual lexicon-based sentiment analysis algorithm, with a dictionary- based approach. The developed algorithm was tested in the sentiment analysis of users' publications on a digital tourism platform. The results obtained demonstrate the efficiency of the solution, which presents a high accuracy in the classification of publications in four different languages.pt_PT
dc.description.sponsorshipThis work has been funded by national funds through FCT - Fundação para a Ciência e a Tecnologia, I.P., under the Project UIDB/05567/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.23919/CISTI52073.2021.9476631pt_PT
dc.identifier.slugcv-prod-2586294
dc.identifier.urihttp://hdl.handle.net/10400.26/37667
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relationSmart Cities Research Center
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9476631pt_PT
dc.subjectsentiment analysispt_PT
dc.subjectautomatic sentiment classificationpt_PT
dc.subjectlexicon-based approachpt_PT
dc.subjectsocial mediapt_PT
dc.titleA Multilingual Lexicon-based Approach for Sentiment Analysis in Social and Cultural Information System Datapt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleSmart Cities Research Center
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05567%2F2020/PT
oaire.citation.conferencePlaceChaves, Portugalpt_PT
oaire.citation.endPage6pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title16th Iberian Conference on Information Systems and Technologies (CISTI'2021)pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameGonçalves de Vilas Boas Jardim
person.familyNameMora
person.givenNameSandra Maria
person.givenNameCarlos
person.identifierhttps://scholar.google.com/citations?user=b8dSKh4AAAAJ&hl=pt-PT
person.identifier.ciencia-idCA14-E5B5-DF67
person.identifier.ciencia-id0F11-5FAC-9BE8
person.identifier.orcid0000-0001-9821-7424
person.identifier.orcid0000-0001-8083-1821
person.identifier.scopus-author-id6602662873
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.cv.cienciaidCA14-E5B5-DF67 | Sandra Maria Gonçalves de Vilas Boas Jardim
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication8b9a64f4-8834-4645-8ca8-9ec1755d03f5
relation.isAuthorOfPublication51fbea28-6567-4de8-bde7-e13f887f4614
relation.isAuthorOfPublication.latestForDiscovery8b9a64f4-8834-4645-8ca8-9ec1755d03f5
relation.isProjectOfPublication318a124f-223f-448f-9fbc-17c0ad4ca7d3
relation.isProjectOfPublication.latestForDiscovery318a124f-223f-448f-9fbc-17c0ad4ca7d3

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