Mining Twitter big data to predict 2013 Pakistan election winner

2013 16th International Multi Topic Conference, INMIC 2013

Volumn , Issue , 2013, Pages 49-54

  Mahmood, Tariq ^a   Iqbal, Tasmiyah ^a   Amin, Farnaz ^a   Lohanna, Wajeeta ^a   Mustafa, Atika ^a  

^a NATIONAL UNIVERSITY OF COMPUTER AND EMERGING SCIENCES   (Pakistan)

Author keywords

Big Data Analysis; Election 2013; Pakistan; Predictive Analytics; Twitter; Winner

Indexed keywords

DATA MINING;

ELECTION 2013; PAKISTAN; PREDICTIVE ANALYTICS; TWITTER; WINNER;

SOCIAL NETWORKING (ONLINE);

EID: 84894459955     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INMIC.2013.6731323     Document Type: Conference Paper

References (18)

1. Twitter Statisitics, http://www.statisticbrain.com/twitter-statistics/, Last Updated: 5.7.2013
2. C. Spengler, W. Werth, and R. Sigrist, "360o Touchpoint Management-How important is Twitter for our brand", Marketing Review, St. Gallen, 2010
3. M. Ghiassi, J. Skinner, and D. Zimbra, "Twitter brand sentiment analysis: A hybrid system using n-gram analysis and dynamic artificial neural network", Expert Systems with Applications, Vol. 40, Issue 16, pp 6266-6282, November 2013.
4. Y. Bae and H. Lee, "Sentiment analysis of twitter audiences: Measuring the positive or negative influence of popular twitterers", Journal of the American Society for Information Science and Technology, Vol. 63, Issue 12, pp. 2521-2535, December 2012.
5. M. Hao, C. Rohrdantz, H. Janetzko, U. Dayal, D. A. Kiem, L.E. Haug, M. C. Hsu, "Visual Sentiment Analysis on Twitter Data Streams", IEEE Symposium on Visual Analytics Science and Technology, October 23- 29, Providence, Rhode Island, USA.
6. Tweet Feel, http://www.tweetfeel.com/
7. S. Chandrasekar, E. Charon, and A. Ginet, "Predicting the US Presidential Election using Twitter data", CS 229 Machine Learning Project report, Stanford University, Autumn 2012.
8. J. M. Soler, F. Cuartero, and M. Roblizo, "Twitter as a Tool for Predicting Election Results", In Proceedings of the 2012 IEEE/ACM Inernational Conference on Advances in Social Network Analysis and Monitoring, 2012.
9. Pakistan General Elections, http://en.wikipedia.org/wiki/Pakistani- general-election,-2013, Last Updated: 19.11.2013
10. Twitter Political Index, http://www.topsylabs.com/election/, Last Updated: 18.11.2013
11. A new barometer for the election-Twitter Political Index, https://blog.twitter.com/2012/new-barometer-election, Last Updated: 01.08.2012
12. Tumasjan, Andranik, Timm Oliver Sprenger, Philipp G. Sandner, and Isabell M. Welpe. "Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment." ICWSM 10 (2010): 178- 185.
13. Belgian Elections-Twitter Opinion Mining, http://www.clips.ua.ac.be/ pages/pattern-examples-elections
14. Gillingham, Gwendolyn, Conway, Michael, Chapman, Wendy, Casale, Michael, AND Pettigrew, Kathryn. "#wheezing: A Content Analysis of Asthma-Related Tweets", Online Journal of Public Health Informatics [Online], Volume 5 Number 1 (24 March 2013)
15. Twimemachine, http://www.twimemachine.com/
16. Murphy Choy, Michelle L.F. Cheong, Ma Nang Laik, and Koo Ping Shung, "A sentiment analysis of Singapore Presidential Election 2011 using Twitter data with census correction", Journal CoRR, Vol. abs/1108.5520, 2011
17. D. Gayo-Avello, "A meta-analysis of state-of-the-art electoral prediction from Twitter data", Journal CoRR, Vol. abs/1206.5851, 2012
18. J. Han, M. Kamber, and J. Pei, "Data Mining: Concepts and Techniques", 2nd Edition, The Morgan Kaufmann Series in Data Management Systems, July 6, 2011.