DocumentCode :
50203
Title :
Using Twitter Sentiment to Forecast the 2013 Pakistani Election and the 2014 Indian Election
Author :
Kagan, Vadim ; Stevens, Andrew ; Subrahmanian, V.S.
Volume :
30
Issue :
1
fYear :
2015
fDate :
Jan.-Feb. 2015
Firstpage :
2
Lastpage :
5
Abstract :
This column discusses the authors´ efforts to project the winner of the 2013 Pakistan and the 2014 Indian prime minister election using social network analysis and methods to create a diffusion estimation model.
Keywords :
politics; social networking (online); 2013 Pakistani election; 2014 indian election; Twitter sentiment; diffusion estimation model; social network analysis; Computational modeling; Data models; Electronic voting; Forecasting; Predictive models; Sentiment analysis; Twitter; Voting; campaign; diffusion estimation model; election forecasting; sentiment analysis; social media; social network analysis;
fLanguage :
English
Journal_Title :
Intelligent Systems, IEEE
Publisher :
ieee
ISSN :
1541-1672
Type :
jour
DOI :
10.1109/MIS.2015.16
Filename :
7030167
Link To Document :
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