In or Out? Real-Time Monitoring of BREXIT sentiment on Twitter

نویسندگان

  • Laurentiu Vasiliu
  • Ross McDermott
  • Malek Ben Khaled
  • Tobias Daudert
  • David Byrne
  • Manuela Hürlimann
  • Sergio Fernández
  • Angelo Cavallini
  • André Freitas
  • Frederico Carol
  • Manel Zarrouk
  • Brian Davis
چکیده

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. CCS Concepts • Computing methodologies➝Artificial intelligence➝Natural language processing➝Information extraction. • Computing methodologies➝Machine learning➝Learning paradigms➝Supervised learning by classification.

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تاریخ انتشار 2016