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dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.contributor.authorSerna Nocedal, Ainhoa
dc.contributor.otherGasparovic, Slaven
dc.date.accessioned2019-12-11T08:21:34Z
dc.date.available2019-12-11T08:21:34Z
dc.date.issued2018
dc.identifier.issn2352-1457en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=153750en
dc.identifier.urihttp://hdl.handle.net/20.500.11984/1516
dc.description.abstractThe goal of the study of the paper is to propose a dashboard with dynamic graphics using a qualitatively and quantitatively approach to investigate the tourists’ satisfaction according by transport mode used. The methodology implemented in the research includes data collection from TripAdvisor.com with geographic locations and their integration with statistical territorial data. Text mining techniques are applied in order to assess tourists’ perceptions on success factors, which may be used as planning support tools. The case study concerns Croatia country and shows the value and complementarity of Social Media-related data with official statistics for transport and tourism planning.en
dc.description.sponsorshipUnión Europeaes
dc.language.isoengen
dc.publisherElsevier Ltd.en
dc.rights© 2018 The Authorsen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectTransporten
dc.subjectSocial mediaen
dc.subjectText miningen
dc.subjectNatural language processingen
dc.subjectUser generated contenten
dc.titleTransport analysis approach based on big data and text mining analysis from social mediaen
dc.typeinfo:eu-repo/semantics/articleen
dcterms.accessRightsinfo:eu-repo/semantics/openAccessen
dcterms.sourceTransportation Research Procediaen
dc.description.versioninfo:eu-repo/semantics/publishedVersionen
local.description.peerreviewedtrueen
local.description.publicationfirstpage291en
local.description.publicationlastpage298en
local.identifier.doihttp://dx.doi.org/10.1016/j.trpro.2018.10.105en
local.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/681463/EU/COST at a turning point: A unique framework for pan-European ST cooperation as clear demonstration of European values/H2020en
local.contributor.otherinstitutionUniversity of Zagrebes
local.source.detailsVol. 33. Pp. 291-298. Elsevier, 2019eu_ES


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Attribution-NonCommercial-NoDerivatives 4.0 International
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