Skip navigation
Logo
User training | Reference and search service

Library catalog

Retrievo
EDS
b-on
More
resources
Content aggregators
Please use this identifier to cite or link to this item:

acessibilidade

http://hdl.handle.net/10071/18923
Full metadata record
acessibilidade
DC FieldValueLanguage
dc.contributor.authorMoreno, A.-
dc.contributor.authorRita, P.-
dc.contributor.authorGuerreiro, J.-
dc.contributor.editorA. Rocha, I. Pedrosa, M. P. Cota, R. Gonçalves-
dc.date.accessioned2019-11-20T14:22:50Z-
dc.date.available2019-11-20T14:22:50Z-
dc.date.issued2019-
dc.identifier.isbn978-989-98434-9-3-
dc.identifier.issn2166-0727-
dc.identifier.urihttp://hdl.handle.net/10071/18923-
dc.description.abstractThe growth of social media in recent years has led to an increase in online reviews that reflects consumer opinions. Firms benefit greatly from making this information available in order to respond more effectively to consumer dissatisfaction and to exploit market opportunities by observing standards that may represent unsatisfied needs. The present study aims to address this problem through a survey based on the Yelp platform. To this end, 14,000 comments related to different tourism products were used and text mining techniques and topic models were applied to find the main latent topics discussed in the online comments and their associated sentiments. The study presents 20 latent topics from online discussions and reveals that the topic that discusses “Air Travel” themes is the one with a lower sentiment connotation on average and should therefore be the subject of a deeper evaluation.por
dc.language.isopor-
dc.publisherIEEE-
dc.relationUID/MULTI/0446/2013-
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147442/PT-
dc.rightsopenAccess-
dc.subjectText miningpor
dc.subjectOnline reviewspor
dc.subjectSentiments analysispor
dc.subjectNatural language processingpor
dc.subjectTopic modelspor
dc.titleSentiment analysis in online reviews classification using text mining techniquepor
dc.typeconferenceObject-
dc.event.title14th Iberian Conference on Information Systems and Technologies, CISTI 2019-
dc.event.typeConferênciapt
dc.event.locationCoimbrapor
dc.event.date2019-
dc.peerreviewedyes-
dc.journal2019 14th Iberian Conference on Information Systems and Technologies (CISTI)-
degois.publication.locationCoimbrapor
degois.publication.titleSentiment analysis in online reviews classification using text mining techniquepor
dc.date.updated2019-11-20T14:21:57Z-
dc.description.versioninfo:eu-repo/semantics/acceptedVersion-
dc.identifier.doi10.23919/CISTI.2019.8760671-
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-60436-
iscte.alternateIdentifiers.wosWOS:000492038200082-
iscte.alternateIdentifiers.scopus2-s2.0-85070098927-
Appears in Collections:ISTAR-CRI - Comunicações a conferências internacionais
BRU-CRI - Comunicações a conferências internacionais

Files in This Item:
acessibilidade
File Description SizeFormat 
CISTI_2019_Pt_Online Reviews.pdfPós-print476.54 kBAdobe PDFView/Open


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Currículo DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.