Show simple item record

dc.contributor.authorVasiliu, Laurentiu
dc.contributor.authorFreitas, André
dc.contributor.authorCaroli, Frederico
dc.contributor.authorMcDermott, Ross
dc.contributor.authorZarrouk, Manel
dc.contributor.authorHürlimann, Manuela
dc.contributor.authorDavis, Brian
dc.contributor.authorDaudert, Tobias
dc.contributor.authorKhaled, Malek Ben
dc.contributor.authorByrne, David
dc.contributor.authorFernández, Sergio
dc.contributor.authorCavallini, Angelo
dc.date.accessioned2016-12-14T11:59:49Z
dc.date.available2016-12-14T11:59:49Z
dc.date.issued2016-09-12
dc.identifier.citationLaurentiu Vasiliu, André Freitas, Frederico Caroli, Siegfried Handschuh, Ross McDermott, Manel Zarrouk, Manuela Hürlimann, Brian Davis, Tobias Daudert, Malek Ben Khaled, David Byrne, Sergio Fernández, Angelo Cavallini (2016) In or Out? Real-Time Monitoring of BREXIT sentiment on Twitter SEMANTiCS 2016en_IE
dc.identifier.issn1613-0073
dc.identifier.urihttp://hdl.handle.net/10379/6239
dc.description.abstractThe SSIX (Social Sentiment analysis financial IndeXes) project is a European Innovation Project sponsored by the European Commission under the Horizon 2020 framework. SSIX aims to provide European SMEs with a collection of easy to interpret tools to analyse and understand social media sentiment for any given topic regardless of locale or language. The United Kingdom’s recent referendum on European Union membership i.e. staying (“Bremain”) or leaving the EU (“Brexit”) was selected for the initial real-world test case for the validating the SSIX methodology and platform. In this paper, we describe the SSIX architecture in brief as well as analysis of the platforms X-Scores metrics and their application to Brexit, our initial experimental results and lessons learned.en_IE
dc.description.sponsorshipThis project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 645425 and Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289.en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherCEUR Workshop Proceedingsen_IE
dc.relation.ispartofSEMANTiCS 2016en
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subjectData analyticsen_IE
dc.subjectSSIXen_IE
dc.subjectBrexiten_IE
dc.subjectNatural language processingen_IE
dc.subjectMachine learningen_IE
dc.subjectOpinion miningen_IE
dc.subjectTwitteren_IE
dc.subjectSentiment analysisen_IE
dc.subjectPolitical opinion miningen_IE
dc.subjectSocial Sentiment analysis financial IndeXesen_IE
dc.titleIn or out? Real-time monitoring of BREXIT sentiment on Twitteren_IE
dc.typeWorkshop paperen_IE
dc.date.updated2016-12-12T16:50:52Z
dc.local.publishedsourcehttp://ceur-ws.org/Vol-1695/paper31.pdfen_IE
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funder|~|1267872|~|
dc.internal.rssid11797189
dc.local.contactManuela Hurlimann, Insight, Ida Business Park, Nui Galway. - Email: manuela.huerlimann@insight-centre.org
dc.local.copyrightcheckedYes
dc.local.versionPUBLISHED
nui.item.downloads393


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland