Di Fatta, G., Reade, J.
ORCID: https://orcid.org/0000-0002-8610-530X, Jaworska, S.
ORCID: https://orcid.org/0000-0001-7465-2245 and Nanda, A.
(2015)
Big social data and political sentiment: the tweet
stream during the UK General Election 2015 campaign.
In: The 8th IEEE International Conference on Social Computing and Networking (SocialCom 2015), Dec. 19-21, 2015, Chengdu, China.
Abstract/Summary
The General Election for the 56th United Kingdom Parliament was held on 7 May 2015. Tweets related to UK politics, not only those with the specific hashtag ”#GE2015”, have been collected in the period between March 1 and May 31, 2015. The resulting dataset contains over 28 million tweets for a total of 118 GB in uncompressed format or 15 GB in compressed format. This study describes the method that was used to collect the tweets and presents some analysis, including a political sentiment index, and outlines interesting research directions on Big Social Data based on Twitter microblogging.
| Item Type | Conference or Workshop Item (Paper) |
| URI | https://reading-clone.eprints-hosting.org/id/eprint/48226 |
| Refereed | Yes |
| Divisions | Henley Business School > Real Estate and Planning Arts, Humanities and Social Science > School of Literature and Languages > English Language and Applied Linguistics Arts, Humanities and Social Science > School of Politics, Economics and International Relations > Economics Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science |
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