Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/19383
DC FieldValueLanguage
dc.contributor.authorChristodoulou, Evripides-
dc.contributor.authorGregoriades, Andreas-
dc.contributor.authorPapapanayides, Savvas-
dc.date.accessioned2020-11-12T11:23:52Z-
dc.date.available2020-11-12T11:23:52Z-
dc.date.issued2020-05-
dc.identifier.citation22nd International Conference on Enterprise Information Systems, 5-7 May 2020en_US
dc.identifier.isbn978-989-758-423-7-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/19383-
dc.description.abstractThis paper utilizes online data of tourists' reviews from TripAdvisor to identify patterns with regards to sentiment and topics discussed by tourists that visit Cyprus, along with the investigation of the effect of tourist culture and purchasing power on reviews' polarity, using logistic regression. The analysis uses natural language processing using the LDA technique and Naïve Bayes sentiment analysis. For the data collection, custom-made python scripts were used. Ordinal logistic regression is used to identify differences among the types of tourists visiting Cyprus, in accordance to culture and purchasing power.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rights© by SCITEPRESS CC BY-NC-ND 4.0en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectOrdinal Logistic Regressionen_US
dc.subjectSentiment Analysisen_US
dc.subjectTopic Analysisen_US
dc.subjectTourists' Reviewsen_US
dc.titleA data analytics approach to online tourists' reviews evaluationen_US
dc.typeConference Papersen_US
dc.linkhttps://www.scitepress.org/Link.aspx?doi=10.5220%2f0009361000990105en_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationAmerican University of Bahrainen_US
dc.subject.categoryComputer and Information Sciencesen_US
dc.countryCyprusen_US
dc.countryBahrainen_US
dc.subject.fieldNatural Sciencesen_US
dc.publicationPeer Revieweden_US
dc.relation.conferenceInternational Conference on Enterprise Information Systemsen_US
cut.common.academicyear2019-2020en_US
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.cerifentitytypePublications-
item.openairetypeconferenceObject-
crisitem.author.deptDepartment of Communication and Marketing-
crisitem.author.facultyFaculty of Communication and Media Studies-
crisitem.author.orcid0000-0002-7422-1514-
crisitem.author.parentorgFaculty of Communication and Media Studies-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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