A Twitter sentiment gold standard for the Brexit referendum
Hürlimann, Manuela Davis, Brian Cortis, Keith Freitas, André Handschuh, Siegfried Fernández, Sergio
Hürlimann, Manuela
Davis, Brian
Cortis, Keith
Freitas, André
Handschuh, Siegfried
Fernández, Sergio
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Publication Date
2016-09-12
Type
Workshop paper
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Citation
Manuela Hürlimann, Brian Davis, Keith Cortis, André Freitas, Siegfried Handschuh, Sergio Fernández (2016). A Twitter Sentiment Gold Standard for the Brexit Referendum. Paper presented at the Proceedings of the 12th International Conference on Semantic Systems, Leipzig, Germany.
Abstract
A Twitter Sentiment Gold Standard for the Brexit Referendum Manuela Hürlimann, Brian Davis Insight Centre for Data Analytics National University of Ireland Galway, Ireland {first.last}@insight-centre.org Keith Cortis, André Freitas, Siegfried Handschuh University of Passau Germany {first.last}@uni-passau.de Sergio Fernández Redlink GmbH Salzburg Austria sergio.fernandez@redlink.co ABSTRACT In this paper, we present a sentiment-annotated Twitter gold standard for the Brexit referendum. The data set consists of 2,000 Twitter messages (“tweets”) annotated with information about the sentiment expressed, the strength of the sentiment, and context dependence. This is a valuable resource for social media-based opinion mining in the context of political events.
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CEUR Workshop Proceedings
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Attribution-NonCommercial-NoDerivs 3.0 Ireland