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In or out? Real-time monitoring of BREXIT sentiment on Twitter

Vasiliu, Laurentiu
; 
Freitas, André
; 
Caroli, Frederico
; 
McDermott, Ross
; 
Zarrouk, Manel
; 
Hürlimann, Manuela
; 
Davis, Brian
; 
Daudert, Tobias
; 
Khaled, Malek Ben
; 
Byrne, David
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Identifiers
http://hdl.handle.net/10379/6239
https://doi.org/10.13025/21416
Repository DOI
Publication Date
2016-09-12
Keywords
Data analytics, SSIX, Brexit, Natural language processing, Machine learning, Opinion mining, Twitter, Sentiment analysis, Political opinion mining, Social Sentiment analysis financial IndeXes
Type
Workshop paper
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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
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.
Funder
|~|1267872|~|
Publisher
CEUR Workshop Proceedings
Publisher DOI
Rights
Attribution-NonCommercial-NoDerivs 3.0 Ireland
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Collections
Data Science Institute (Workshop Papers)