Big Social Data and Political Sentiment: the Tweet Stream during the UK General Election 2015 Campaign

被引：8
|
作者：
Di Fatta, Giuseppe [1 ]
Reade, J. James [2 ]
Jaworska, Sylvia [3 ]
Nanda, Anupam [4 ]
机构：
[1] Univ Reading, Sch Syst Engn, Reading RG6 6AH, Berks, England
[2] Univ Reading, Sch Polit Econ & Int Relat, Reading RG6 6AH, Berks, England
[3] Univ Reading, Dept English Language & Appl Linguist, Reading RG6 6AH, Berks, England
[4] Univ Reading, Henley Business Sch, Reading RG6 6AH, Berks, England
来源：
2015 IEEE INTERNATIONAL CONFERENCE ON SMART CITY/SOCIALCOM/SUSTAINCOM (SMARTCITY) | 2015年
关键词：
Big social data; Twitter; microblogging; political sentiment index; #GE2015;
D O I：
10.1109/SmartCity.2015.87
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：293 / 298
页数：6
相关论文
共 48 条
12345