Learning for microblogs with distant supervision: Political forecasting with twitter

EACL 2012 - 13th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings

Volumn , Issue , 2012, Pages 603-612

  Marchetti Bowick, Micol ^a   Chambers, Nathanael ^b  

^a MICROSOFT   (United States)

^b UNITED STATES NAVAL ACADEMY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; LINGUISTICS; SEARCH ENGINES; SOCIAL NETWORKING (ONLINE);

AUTOMATED APPROACH; KEYWORD SEARCH; MICROBLOGGING; MICROBLOGS; SENTIMENT ANALYSIS; TOPIC IDENTIFICATION;

DATA MINING;

EID: 84893270840     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Luciano Barbosa and Junlan Feng. 2010. Robust sentiment detection on twitter from biased and noisy data. In Proceedings of the 23rd International Conference on Computational Linguistics (COLING 2010).
2. Albert Bifet and Eibe Frank. 2010. Sentiment knowledge discovery in twitter streaming data. In Lecture Notes in Computer Science, volume 6332, pages 1- 15.
3. Paula Carvalho, Luis Sarmento, Jorge Teixeira, and Mario J. Silva. 2011. Liars and saviors in a sentiment annotated corpus of comments to political debates. In Proceedings of the Association for Computational Linguistics (ACL-2011), pages 564-568.
4. Dmitry Davidov, Oren Tsur, and Ari Rappoport. 2010. Enhanced sentiment learning using twitter hashtags and smileys. In Proceedings of the 23rd International Conference on Computational Linguistics (COLING 2010).
5. Alec Go, Richa Bhayani, and Lei Huang. 2009. Twitter sentiment classification using distant supervision. Technical report.
6. Sandra Gonzalez-Bailon, Rafael E. Banchs, and Andreas Kaltenbrunner. 2010. Emotional reactions and the pulse of public opinion: Measuring the impact of political events on the sentiment of online discussions. Technical report.
7. Long Jiang, Mo Yu, Ming Zhou, Xiaohua Liu, and Tiejun Zhao. 2011. Target-dependent twitter sentiment classification. In Proceedings of the Association for Computational Linguistics (ACL-2011).
8. Efthymios Kouloumpis, Theresa Wilson, and Johanna Moore. 2011. Twitter sentiment analysis: The good the bad and the omg In Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media.
9. Adam D. I. Kramer. 2010. An unobtrusive behavioral model of 'gross national happiness'. In Proceedings of the 28th International Conference on Human Factors in Computing Systems (CHI 2010).
10. Mike Mintz, Steven Bills, Rion Snow, and Dan Jurafsky. 2009. Distant supervision for relation extraction without labeled data. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL '09, pages 1003-1011.
11. Brendan O'Connor, Ramnath Balasubramanyan, Bryan R. Routledge, and Noah A. Smith. 2010. From tweets to polls: Linking text sentiment to public opinion time series. In Proceedings of the AAAI Conference on Weblogs and Social Media.
12. Alexander Pak and Patrick Paroubek. 2010. Twitter as a corpus for sentiment analysis and opinion mining.In Proceedings of the Seventh International Conference On Language Resources and Evaluation (LREC).
13. Jonathon Read. 2005. Using emoticons to reduce dependency in machine learning techniques for sentiment classification. In Proceedings of the ACL Student Research Workshop (ACL-2005).
14. Chenhao Tan, Lillian Lee, Jie Tang, Long Jiang, Ming Zhou, and Ping Li. 2011. User-level sentiment analysis incorporating social networks. In Proceedings of the 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
15. Mike Thelwall, Kevan Buckley, Georgios Paltoglou, Di Cai, and Arvid Kappas. 2010. Sentiment strength detection in short informal text. Journal of the American Society for Information Science and Technology, 61(12):2544-2558.
16. Mike Thelwall, Kevan Buckley, and Georgios Paltoglou. 2011. Sentiment in twitter events. Journal of the American Society for Information Science and Technology, 62(2):406-418.
17. Andranik Tumasjan, Timm O. Sprenger, Philipp G. Sandner, and Isabell M. Welpe. 2010. Election forecasts with twitter: How 140 characters reflect the political landscape. Social Science Computer Review.
18. J.; Wilson, T.; Wiebe and P. Hoffmann. 2005. Recognizing contextual polarity in phrase-level sentiment analysis. In Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing.