2012 presidential elections on twitter - An analysis of how the us and french election were reflected in tweets

Proceedings - 19th International Conference on Control Systems and Computer Science, CSCS 2013

Volumn , Issue , 2013, Pages 240-246

  Nooralahzadeh, Farhad ^a   Arunachalam, Viswanathan ^a   Chiru, Costin Gabriel ^a  

^a UNIVERSITY POLITEHNICA OF BUCHAREST   (Romania)

Author keywords

Elections; Hash Tags; Polarity; Sentiment Analysis; Time Series; Topics; Twitter

Indexed keywords

ELECTIONS; HASH TAGS; POLARITY; SENTIMENT ANALYSIS; TOPICS; TWITTER;

COMPUTER SCIENCE; CONTROL SYSTEMS; TIME SERIES; TIME SERIES ANALYSIS;

SOCIAL NETWORKING (ONLINE);

EID: 84883370154     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSCS.2013.72     Document Type: Conference Paper

References (13)

1. http://www.thenational.ae/news/uae-news/facebook-and-twitter-key-to-arab- spring-uprisings-report
2. T. Khot, Clustering Twitter Feeds using Word Co-occurrence (http://pages.cs.wisc.edu/tushar/projects/cs784.pdf)
3. B. O'Connor, R. Balasubramanyan, B.R. Routledge,and N.A. Smith,From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series. In Proc. ICWSM 2010, pp. 122-129, 2010.
4. A. Agarwal,B. Xie, I. Vovsha,O. Rambow,and R. Passonneau,Sentiment analysis of Twitter data, In Proceedings of the Workshop on Languages in Social Media (LSM '11), 30-38. ACL, Stroudsburg, PA, USA, 2011.
5. E. Kouloumpis, T. Wilson, and J. Moore,Twitter Sentiment Analysis: The Good the Bad and the OMG. In Proc. ICWSM 2011, pp. 538-541, Barcelona, Spain, 2011.
6. J. Bollen, A. Pepe, H. Mao,Modeling public mood and emotion: Twitter sentiment and socioeconomic phenomena. In Proc. ICWSM 2011, pp. 450-453, Barcelona, Spain, 2011.
7. J.E. Chung, E. Mustafaraj. Can Collective Sentiment Expressed on Twitter Predict Political Elections. In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2011, 1770-1771, San Francisco, California, USA, AAAI Press, 2011
8. H. Schmid.Probabilistic Part-of-Speech Tagging Using Decision Trees. Proceedings of International Conference on New Methods in Language Processing, pp.44-49, Manchester, UK, 1994.
9. http://www.cs.uic.edu/liub/FBS/SentimentAnalysis-and-OpinionMining. html
10. http://www.cs.uic.edu/liub/FBS/sentiment-analysis.html
11. http://people.cs.pitt.edu/wiebe/
12. F. . Nielsen, A new ANEW: Evaluation of a word list for sentiment analysis in microblogs. Ed. Matthew Rowe, Milan Stankovic, Aba-Sah Dadzie,and Mariann Hardey, Proceedings, 1st Workshop on Making Sense of Microposts (#MSM2011): Big things come in small packages, pages 9398, Heraklion,Crete, Greece, May, 2011.
13. http://gephi.org/