SemEval-2015 Task 10: Sentiment Analysis in Twitter

SemEval 2015 - 9th International Workshop on Semantic Evaluation, co-located with the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2015 - Proceedings

Volumn , Issue , 2015, Pages 451-463

  Rosenthal, Sara ^a   Nakov, Preslav ^b   Kiritchenko, Svetlana ^c   Mohammad, Saif M ^c   Ritter, Alan ^d   Stoyanov, Veselin ^e  

^a Columbia University ^*  (United States)

^b QATAR COMPUTING RESEARCH INSTITUTE   (Qatar)

^c NATIONAL RESEARCH COUNCIL CANADA   (Canada)

^d OHIO STATE UNIVERSITY   (United States)

^e Facebook

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; SEMANTICS; SOCIAL NETWORKING (ONLINE);

PREVIOUS YEAR; SENTIMENT ANALYSIS; SUBTASK;

SENTIMENT ANALYSIS;

EID: 85097069081     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (27)

1. Eric Almquist and Jason Lee. 2009. What do customers really want? Harvard Business Review.
2. Stefano Baccianella, Andrea Esuli, and Fabrizio Sebastiani. 2010. SentiWordNet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining. In Proceedings of the Seventh International Conference on Language Resources and Evaluation, LREC'10, pages 2200-2204, Valletta, Malta.
3. 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: Posters, COLING'10, pages 36-44, Beijing, China.
4. Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, and Ricard Gavaldà. 2011. Detecting sentiment change in Twitter streaming data. Journal of Machine Learning Research, Proceedings Track, 17:5-11.
5. Dmitry Davidov, Oren Tsur, and Ari Rappoport. 2010. Semi-supervised recognition of sarcasm in Twitter and Amazon. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning, CoNLL'10, pages 107-116, Uppsala, Sweden.
6. Roberto González-Ibáñez, Smaranda Muresan, and Nina Wacholder. 2011. Identifying sarcasm in Twitter: a closer look. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Short Papers, ACL-HLT'11, pages 581-586, Portland, Oregon, USA.
7. Dustin Hillard, Mari Ostendorf, and Elizabeth Shriberg. 2003. Detection of agreement vs. disagreement in meetings: Training with unlabeled data. In Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: Volume 2, NAACL'03, pages 34-36, Edmonton, Canada.
8. Minqing Hu and Bing Liu. 2004. Mining and summarizing customer reviews. In Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD'04, pages 168-177, New York, NY, USA.
9. Bernard Jansen, Mimi Zhang, Kate Sobel, and Abdur Chowdury. 2009. Twitter power: Tweets as electronic word of mouth. J. Am. Soc. Inf. Sci. Technol., 60(11):2169-2188.
10. David Jurgens, Saif Mohammad, Peter Turney, and Keith Holyoak. 2012. SemEval-2012 Task 2: Measuring degrees of relational similarity. In Proceedings of the Sixth International Workshop on Semantic Evaluation, SemEval'12, pages 356-364, Montréal, Canada.
11. Maurice G Kendall. 1938. A new measure of rank correlation. Biometrika, pages 81-93.
12. Svetlana Kiritchenko, Xiaodan Zhu, and Saif M. Mohammad. 2014. Sentiment analysis of short informal texts. Journal of Artificial Intelligence Research (JAIR), 50:723-762.
13. Efthymios Kouloumpis, Theresa Wilson, and Johanna Moore. 2011. Twitter sentiment analysis: The good the bad and the OMG! In Proceedings of the Fifth International Conference on Weblogs and Social Media, ICWSM'11, pages 538-541, Barcelona, Catalonia, Spain.
14. Erich Leo Lehmann and Howard JM D'Abrera. 2006. Nonparametrics: statistical methods based on ranks. Springer New York.
15. Christine Liebrecht, Florian Kunneman, and Antal Van den Bosch. 2013. The perfect solution for detecting sarcasm in tweets #not. In Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 29-37, Atlanta, Georgia, USA.
16. Jordan J. Louviere. 1991. Best-worst scaling: A model for the largest difference judgments. Technical report, University of Alberta.
17. Saif Mohammad, Svetlana Kiritchenko, and Xiaodan Zhu. 2013. NRC-Canada: Building the state-of-the-art in sentiment analysis of tweets. In Proceedings of the Seventh International Workshop on Semantic Evaluation, SemEval'13, pages 321-327, Atlanta, Georgia, USA.
18. Preslav Nakov, Sara Rosenthal, Zornitsa Kozareva, Veselin Stoyanov, Alan Ritter, and Theresa Wilson. 2013. SemEval-2013 Task 2: Sentiment analysis in Twitter. In Proceedings of the Seventh International Workshop on Semantic Evaluation, SemEval '13, pages 312-320, Atlanta, Georgia, USA.
19. Brendan O'Connor, Ramnath Balasubramanyan, Bryan Routledge, and Noah Smith. 2010. From tweets to polls: Linking text sentiment to public opinion time series. In Proceedings of the Fourth International Conference on Weblogs and Social Media, ICWSM'10, pages 122-129, Washington, DC, USA.
20. Alexander Pak and Patrick Paroubek. 2010. Twitter based system: Using Twitter for disambiguating sentiment ambiguous adjectives. In Proceedings of the 5th International Workshop on Semantic Evaluation, SemEval'10, pages 436-439, Uppsala, Sweden.
21. Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan. 2002. Thumbs up?: Sentiment classification using machine learning techniques. In Proceedings of the Conference on Empirical Methods in Natural Language Processing - Volume 10, EMNLP'02, pages 79-86, Philadephia, Pennsylvania, USA.
22. Alan Ritter, Sam Clark, and Oren Etzioni. 2011. Named entity recognition in tweets: An experimental study. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP'11, pages 1524-1534, Edinburgh, Scotland, UK.
23. Alan Ritter, Oren Etzioni, Sam Clark, et al. 2012. Open domain event extraction from Twitter. In Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD'12, pages 1104-1112, Beijing, China.
24. Sara Rosenthal, Alan Ritter, Preslav Nakov, and Veselin Stoyanov. 2014. SemEval-2014 Task 9: Sentiment analysis in Twitter. In Proceedings of the 8th International Workshop on Semantic Evaluation, SemEval'14, pages 73-80, Dublin, Ireland.
25. Janyce Wiebe, Theresa Wilson, and Claire Cardie. 2005. Annotating expressions of opinions and emotions in language. Language Resources and Evaluation, 39(2-3):165-210.
26. Theresa Wilson, Janyce Wiebe, and Paul 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, HLT-EMNLP'05, pages 347-354, Vancouver, British Columbia, Canada.
27. Xiaodan Zhu, Hongyu Guo, Saif Mohammad, and Svetlana Kiritchenko. 2014. An empirical study on the effect of negation words on sentiment. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL'14, pages 304-313, Baltimore, Maryland, USA.