dc.contributor.author | Davis, Brian | |
dc.contributor.author | Cortis, Keith | |
dc.contributor.author | Vasiliu, Laurentiu | |
dc.contributor.author | Koumpis, Adamantios | |
dc.contributor.author | McDermott, Ross | |
dc.contributor.author | Handschuh, Siegfried | |
dc.date.accessioned | 2016-06-03T13:12:41Z | |
dc.date.available | 2016-06-03T13:12:41Z | |
dc.date.issued | 2016-05 | |
dc.identifier.citation | Brian 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- 25/02/2016 | en_IE |
dc.identifier.uri | http://hdl.handle.net/10379/5855 | |
dc.description.abstract | Social 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.sponsorship | European Union’s Horizon 2020 Research and Innovation Programme ICT 2014 - Information and Communications Technologies under grant agreement No. 645425. | en_IE |
dc.format | application/pdf | en_IE |
dc.language.iso | en | en_IE |
dc.publisher | INSIGHT Centre for Data Analytics, NUI Galway, Ireland | en_IE |
dc.relation.ispartof | 2nd International Conference on Big Data, Small Data, Linked Data and Open Data, ALLDATA 2016 | en |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Ireland | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ie/ | |
dc.subject | Social sentiment index | en_IE |
dc.subject | Cross-lingual | en_IE |
dc.subject | Social networking services | en_IE |
dc.subject | Social media analytics | en_IE |
dc.subject | Statistical analysis | en_IE |
dc.subject | Sentiment analysis | en_IE |
dc.subject | Big social and news data | en_IE |
dc.subject | Natural language processing | en_IE |
dc.subject | Artificial intelligence | en_IE |
dc.title | Social sentiment indices powered by X-scores | en_IE |
dc.type | Conference Paper | en_IE |
dc.date.updated | 2016-04-08T12:06:45Z | |
dc.identifier.doi | 10.13025/S8QP4D | |
dc.local.publishedsource | http://dx.doi.org/10.13025/S8QP4D | |
dc.description.peer-reviewed | peer-reviewed | |
dc.contributor.funder | |~|1267872|~| | |
dc.internal.rssid | 10831243 | |
dc.local.contact | Brian Davis, Deri, Ida Business Park, Lower Dangan, Nui Galway. 5012 Email: brian.davis@deri.org | |
dc.local.copyrightchecked | Yes | |
dc.local.version | PUBLISHED | |
nui.item.downloads | 3010 | |