dc.contributor.author | Vasiliu, Laurentiu | |
dc.contributor.author | Freitas, André | |
dc.contributor.author | Caroli, Frederico | |
dc.contributor.author | McDermott, Ross | |
dc.contributor.author | Zarrouk, Manel | |
dc.contributor.author | Hürlimann, Manuela | |
dc.contributor.author | Davis, Brian | |
dc.contributor.author | Daudert, Tobias | |
dc.contributor.author | Khaled, Malek Ben | |
dc.contributor.author | Byrne, David | |
dc.contributor.author | Fernández, Sergio | |
dc.contributor.author | Cavallini, Angelo | |
dc.date.accessioned | 2016-12-14T11:59:49Z | |
dc.date.available | 2016-12-14T11:59:49Z | |
dc.date.issued | 2016-09-12 | |
dc.identifier.citation | Laurentiu 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 2016 | en_IE |
dc.identifier.issn | 1613-0073 | |
dc.identifier.uri | http://hdl.handle.net/10379/6239 | |
dc.description.abstract | The 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.sponsorship | This 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.format | application/pdf | en_IE |
dc.language.iso | en | en_IE |
dc.publisher | CEUR Workshop Proceedings | en_IE |
dc.relation.ispartof | SEMANTiCS 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 | Data analytics | en_IE |
dc.subject | SSIX | en_IE |
dc.subject | Brexit | en_IE |
dc.subject | Natural language processing | en_IE |
dc.subject | Machine learning | en_IE |
dc.subject | Opinion mining | en_IE |
dc.subject | Twitter | en_IE |
dc.subject | Sentiment analysis | en_IE |
dc.subject | Political opinion mining | en_IE |
dc.subject | Social Sentiment analysis financial IndeXes | en_IE |
dc.title | In or out? Real-time monitoring of BREXIT sentiment on Twitter | en_IE |
dc.type | Workshop paper | en_IE |
dc.date.updated | 2016-12-12T16:50:52Z | |
dc.local.publishedsource | http://ceur-ws.org/Vol-1695/paper31.pdf | en_IE |
dc.description.peer-reviewed | peer-reviewed | |
dc.contributor.funder | |~|1267872|~| | |
dc.internal.rssid | 11797189 | |
dc.local.contact | Manuela Hurlimann, Insight, Ida Business Park, Nui Galway. - Email: manuela.huerlimann@insight-centre.org | |
dc.local.copyrightchecked | Yes | |
dc.local.version | PUBLISHED | |
nui.item.downloads | 421 | |