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

页码：293 / 298

页数：6

共 48 条

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