ABSTRACT
This paper describes a system for real-time analysis of public sentiment toward presidential candidates in the 2012 U.S. election as expressed on Twitter, a micro-blogging service. Twitter has become a central site where people express their opinions and views on political parties and candidates. Emerging events or news are often followed almost instantly by a burst in Twitter volume, providing a unique opportunity to gauge the relation between expressed public sentiment and electoral events. In addition, sentiment analysis can help explore how these events affect public opinion. While traditional content analysis takes days or weeks to complete, the system demonstrated here analyzes sentiment in the entire Twitter traffic about the election, delivering results instantly and continuously. It offers the public, the media, politicians and scholars a new and timely perspective on the dynamics of the electoral process and public opinion.
- Bollen, J., Mao, H., & Zeng, X. (2011). Twitter mood predicts the stock market. Journal of Computational Science, 2(1), 1--8. doi: 10.1016/j.jocs.2010.12.007Google ScholarCross Ref
- Choy, M., Cheong, L. F. M., Ma, N. L., & Koo, P. S. (2011). A sentiment analysis of Singapore Presidential Election 2011 using Twitter data with census correction.Google Scholar
- González-Ibáñez, R., Muresan, S., & Wacholder, N. (2011). Identifying Sarcasm in Twitter: A Closer Look. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics. Google ScholarDigital Library
- IBM. (2012). InfoSphere Streams, from http://www-01.ibm.com/software/data/infosphere/streams/Google Scholar
- Lassen, D. S., & Brown, A. R. (2010). Twitter: The Electoral Connection? Social Science Computer Review. Google ScholarDigital Library
- O'Connor, B., Krieger, M., & Ahn, D. (2010). TweetMotif: Exploratory Search and Topic Summarization for Twitter. In Proceedings of the the Fourth International AAAI Conference on Weblogs and Social Media, Washington, DC.Google Scholar
- Pang, B., & Lee, L. (2008). Opinion Mining and Sentiment Analysis. Foundations and Trends in Information Retrieval, 2(1--2), 1--135. doi: 10.1561/1500000011 Google ScholarDigital Library
- Pew Research Center. (2011). 13% of online adults use Twitter. Retrieved from http://www.pewinternet.org/~/media//Files/Reports/2011/Twitter%20Update%202011.pdfGoogle Scholar
- Tumasjan, A., Sprenger, T. O., Sandner, P. G., & Welpe, I. M. (2010). Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment.Google Scholar
- TweetCongress. (2012). Congress Members on Twitter Retrieved Mar 18, 2012, from http://tweetcongress.org/members/Google Scholar
- Twitter. (2012). What is Twitter Retrieved Mar 18, 2012, from https://business.twitter.com/en/basics/what-is-twitter/Google Scholar
- Vergeer, M., Hermans, L., & Sams, S. (2011). Is the voter only a tweet away? Micro blogging during the 2009 European Parliament election campaign in the Netherlands. First Monday {Online}, 16(8).Google Scholar
- Zeitzoff, T. (2011). Using Social Media to Measure Conflict Dynamics. Journal of Conflict Resolution, 55(6), 938--969. doi: 10.1177/0022002711408014Google ScholarCross Ref
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