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dc.contributor.authorDavis, Brian
dc.contributor.authorCortis, Keith
dc.contributor.authorVasiliu, Laurentiu
dc.contributor.authorKoumpis, Adamantios
dc.contributor.authorMcDermott, Ross
dc.contributor.authorHandschuh, Siegfried
dc.date.accessioned2016-06-03T13:12:41Z
dc.date.available2016-06-03T13:12:41Z
dc.date.issued2016-05
dc.identifier.citationBrian Davis, Keith Cortis, Laurentiu Vasiliu, Adamantios Koumpis, Ross McDermott and Siegfried Handschuh (2016) Social Sentiment Indices Powered by X-Scores 2nd International Conference on Big Data, Small Data, Linked Data and Open Data, ALLDATA 2016 Lisbon, Portugal, 21/02/2016- 25/02/2016en_IE
dc.identifier.urihttp://hdl.handle.net/10379/5855
dc.description.abstractSocial Sentiment Indices powered by X-Scores (SSIX) seeks to address the challenge of extracting relevant and valuable economic signals in a cross-lingual fashion from the vast variety of and increasingly influential social media services, such as Twitter, Google+, Facebook, StockTwits and LinkedIn, and in conjunction with the most reliable and authoritative newswires, online newspapers, financial news networks, trade publications and blogs. A statistical framework of qualitative and quantitative parameters called X-Scores will power SSIX. This framework will interpret economically significant sentiment signals that are disseminated in the social ecosystem. Using X-Scores, SSIX will create commercially viable and exploitable social sentiment indices, regardless of language, locale and data format. SSIX and X-Scores will support research and investment decision making for European SMEs, enabling end users to analyse and leverage real-time social media sentiment data in their domain, creating innovative products and services to support revenue growth with focus on increased alpha generation for investment portfolios.en_IE
dc.description.sponsorshipEuropean Union’s Horizon 2020 Research and Innovation Programme ICT 2014 - Information and Communications Technologies under grant agreement No. 645425.en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherINSIGHT Centre for Data Analytics, NUI Galway, Irelanden_IE
dc.relation.ispartof2nd International Conference on Big Data, Small Data, Linked Data and Open Data, ALLDATA 2016en
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subjectSocial sentiment indexen_IE
dc.subjectCross-lingualen_IE
dc.subjectSocial networking servicesen_IE
dc.subjectSocial media analyticsen_IE
dc.subjectStatistical analysisen_IE
dc.subjectSentiment analysisen_IE
dc.subjectBig social and news dataen_IE
dc.subjectNatural language processingen_IE
dc.subjectArtificial intelligenceen_IE
dc.titleSocial sentiment indices powered by X-scoresen_IE
dc.typeConference Paperen_IE
dc.date.updated2016-04-08T12:06:45Z
dc.identifier.doi10.13025/S8QP4D
dc.local.publishedsourcehttp://dx.doi.org/10.13025/S8QP4D
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funder|~|1267872|~|
dc.internal.rssid10831243
dc.local.contactBrian Davis, Deri, Ida Business Park, Lower Dangan, Nui Galway. 5012 Email: brian.davis@deri.org
dc.local.copyrightcheckedYes
dc.local.versionPUBLISHED
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Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland