Using twitter sentiment to forecast the 2013 Pakistani election and the 2014 Indian election

IEEE Intelligent Systems

Volumn 30, Issue 1, 2015, Pages 2-5

  Kagan, Vadim ^a   Stevens, Andrew ^a   Subrahmanian, V S ^b  

^a Sentimetrix ^*  (United States)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

campaign; diffusion estimation model; election forecasting; sentiment analysis; social media; social network analysis

Indexed keywords

ARTIFICIAL INTELLIGENCE; INTELLIGENT SYSTEMS;

CAMPAIGN; ESTIMATION MODELS; INDIAN ELECTIONS; PAKISTAN; SENTIMENT ANALYSIS; SOCIAL MEDIA;

SOCIAL NETWORKING (ONLINE);

EID: 84922802451     PISSN: 15411672     EISSN: None     Source Type: Journal    
DOI: 10.1109/MIS.2015.16     Document Type: Short Survey

References (6)

1. O. Bennett-Jones, "Pakistan Elections: Five Reasons Why the Vote Is Unpredictable," BBC News, 9 May 2013; www.bbc.com/news/world-asia-22437073.
2. V.S. Subrahmanian and D. Reforgiato, "AVA: Adjective-Verb-Adverb Combinations for Sentiment Analysis," IEEE Intelligent Systems, vol. 23, no. 4, 2008, pp. 43-50.
3. Indians Want Political Change: Modi Viewed More Favorably than Gandhi, Pew Research, 26 Feb. 2014; www.pewglobal.org/files/2014/02/India-Political-Report-FINAL-February-26-2014.pdf.
4. N. Silver, The Signal and the Noise: Why So Many Predictions Fail - But Some Don't, Penguin, 2012.
5. A. Tumasjan et al., "Election Forecasts with Twitter: How 140 Characters Reflect the Political Landscape," Social Science Computer Rev., 2010; doi:10.1177/0894439310386557.
6. A. Jungherr, P. Jürgens, and H. Schoen, "Why the Pirate Party Won the German Election of 2009 or the Trouble with Predictions: A Response to Tumasjan, A., Sprenger, T.O., Sander, P.G., & Welpe, I.M. 'Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment,'" Social Science Computer Rev., vol. 30, no. 2, 2012, pp. 229-234.