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dc.contributor.author Grčar, Miha
dc.contributor.author Cherepnalkoski, Darko
dc.contributor.author Mozetič, Igor
dc.contributor.author Kralj Novak, Petra
dc.date.accessioned 2017-07-12T09:57:01Z
dc.date.available 2017-07-12T09:57:01Z
dc.date.issued 2016
dc.identifier.uri http://hdl.handle.net/11356/1135
dc.description The corpus contains over 4.5 million tweets (tweet IDs) automatically labeled by a machine learning program with stance regarding Brexit: Positive (supporting Brexit), Negative (opposing Brexit), or Neutral (uncommitted). The Brexit referendum was held on June 23, 2016, to decide whether the UK should leave or remain in the EU. In the weeks before the referendum, starting on May 12, the UK geo-located Brexit-related tweets were continuously collected resulting in a dataset of around 4.5 million (4,508,440) tweets from almost one million (998,054) users. A large sample of the collected tweets (35,000) was manually labeled for the stance of their authors regarding Brexit: Positive (supporting Brexit), Negative (opposing Brexit), or Neutral (uncommitted). The labeled tweets were used to train a classifier which then automatically labeled all the remaining tweets. The corpus contains tweet ids and stance labels. The tweets are grouped into files one hour per file. In each file, one row represents one entry (twitter_id, sentiment_label). Lines are ordered by the tweet time. The data collection, annotation, model training and performance estimation is described in detail in: Miha Grčar, Darko Cherepnalkoski, Igor Mozetič, Petra Kralj Novak: Stance and influence of Twitter users regarding the Brexit referendum. Computational Social Networks 4/6. 2017. http://dx.doi.org/10.1186/s40649-017-0042-6
dc.language.iso eng
dc.publisher Jožef Stefan Institute
dc.relation info:eu-repo/grantAgreement/EC/H2020/640772
dc.relation.isreferencedby http://dx.doi.org/10.1186/s40649-017-0042-6
dc.rights Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
dc.rights.uri https://creativecommons.org/licenses/by-sa/4.0/
dc.rights.label PUB
dc.subject Twitter
dc.subject Brexit
dc.subject stance
dc.subject computer-mediated communication
dc.title Brexit stance annotated tweets
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType text
has.files yes
branding CLARIN.SI data & tools
contact.person Petra Kralj Novak Petra.Kralj.Novak@ijs.si Jožef Stefan Institute
sponsor EC 640772 DOLFINS euFunds info:eu-repo/grantAgreement/EC/H2020/640772
sponsor ARRS (Slovenian Research Agency) P2-103 Knowledge Technologies nationalFunds
size.info 4508440 entries
files.count 1
files.size 37162762


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Brexit_tweets_stance.zip
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Brexit twitter stance data
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under the Programme of "Research Infrastructures".