Sentiment composition of words with opposing polarities

2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016 - Proceedings of the Conference

Volumn , Issue , 2016, Pages 1102-1108

  Kiritchenko, Svetlana ^a   Mohammad, Saif M ^a  

^a NATIONAL RESEARCH COUNCIL CANADA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

SYNTACTICS;

LINGUISTIC PATTERNS; PARTS OF SPEECH;

COMPUTATIONAL LINGUISTICS;

EID: 84994077990     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/n16-1128     Document Type: Conference Paper

References (32)

1. Chih-Chung Chang and Chih-Jen Lin. 2011. LIBSVM: A Library for Support Vector Machines. ACM Transactions on Intelligent Systems and Technology, 2:27:1-27:27.
2. Yejin Choi and Claire Cardie. 2008. Learning with compositional semantics as structural inference for subsentential sentiment analysis. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 793-801.
3. Li Dong, Furu Wei, Shujie Liu, Ming Zhou, and Ke Xu. 2015. A statistical parsing framework for sentiment classification. Computational Linguistics.
4. Kevin Gimpel, Nathan Schneider, Brendan O'Connor, Dipanjan Das, Daniel Mills, Jacob Eisenstein, Michael Heilman, Dani Yogatama, Jeffrey Flanigan, and Noah A. Smith. 2011. Part-of-speech tagging for Twitter: Annotation, features, and experiments. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL).
5. 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), pages 168-177, New York, NY, USA.
6. Ozan Irsoy and Claire Cardie. 2014. Deep recursive neural networks for compositionality in language. In Advances in Neural Information Processing Systems, pages 2096-2104.
7. Alistair Kennedy and Diana Inkpen. 2005. Sentiment classification of movie and product reviews using contextual valence shifters. In Proceedings of the Workshop on the Analysis of Informal and Formal Information Exchange during Negotiations (FINEXIN), Ottawa, Ontario, Canada.
8. Svetlana Kiritchenko and Saif M. Mohammad. 2016a. Capturing reliable fine-grained sentiment associations by crowdsourcing and best-worst scaling. In Proceedings of The 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), San Diego, California.
9. Svetlana Kiritchenko and Saif M. Mohammad. 2016b. The effect of negators, modals, and degree adverbs on sentiment composition. In Proceedings of the Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA).
10. Svetlana Kiritchenko and Saif M. Mohammad. 2016c. Happy accident: A sentiment composition lexicon for opposing polarity phrases. In Proceedings of 10th edition of the the Language Resources and Evaluation Conference (LREC), Portorož, Slovenia.
11. Svetlana Kiritchenko, Xiaodan Zhu, and Saif M. Mohammad. 2014. Sentiment analysis of short informal texts. Journal of Artificial Intelligence Research, 50:723-762.
12. Svetlana Kiritchenko, Saif M. Mohammad, and Mohammad Salameh. 2016. SemEval-2016 Task 7: Determining sentiment intensity of English and Arabic phrases. In Proceedings of the International Workshop on Semantic Evaluation (SemEval), San Diego, California, June.
13. Jingjing Liu and Stephanie Seneff. 2009. Review sentiment scoring via a parse-and-paraphrase paradigm. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 161-169.
14. Jordan J. Louviere and George G. Woodworth. 1990. Best-worst analysis. Working Paper. Department of Marketing and Economic Analysis, University of Alberta.
15. Jordan J. Louviere, Terry N. Flynn, and A. A. J. Marley. 2015. Best-Worst Scaling: Theory, Methods and Applications. Cambridge University Press.
16. Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. Efficient estimation of word representations in vector space. In Proceedings of Workshop at ICLR.
17. Saif M. Mohammad and Peter D. Turney. 2010. Emotions evoked by common words and phrases: Using Mechanical Turk to create an emotion lexicon. In Proceedings of the NAACL-HLT Workshop on Computational Approaches to Analysis and Generation of Emotion in Text, LA, California.
18. Saif M. Mohammad and Peter D. Turney. 2013. Crowd-sourcing a word-emotion association lexicon. Computational Intelligence, 29(3):436-465.
19. Saif M. Mohammad, Svetlana Kiritchenko, and Xiaodan Zhu. 2013. NRC-Canada: Building the state-of-the-art in sentiment analysis of tweets. In Proceedings of the International Workshop on Semantic Evaluation, Atlanta, Georgia.
20. Karo Moilanen and Stephen Pulman. 2007. Sentiment composition. In Proceedings of Recent Advances in Natural Language Processing (RANLP), volume 7, pages 378-382.
21. Richard Montague. 1974. Formal Philosophy; Selected papers of Richard Montague. Yale University Press.
22. Tetsuji Nakagawa, Kentaro Inui, and Sadao Kurohashi. 2010. Dependency tree-based sentiment classification using CRFs with hidden variables. In Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics, pages 786-794.
23. Alena Neviarouskaya, Helmut Prendinger, and Mitsuru Ishizuka. 2010. Recognition of affect, judgment, and appreciation in text. In Proceedings of the International Conference on Computational Linguistics, pages 806-814.
24. Bryan Orme. 2009. Maxdiff analysis: Simple counting, individual-level logit, and HB. Sawtooth Software, Inc.
25. Livia Polanyi and Annie Zaenen. 2004. Contextual valence shifters. In Proceedings of the Exploring Attitude and Affect in Text: Theories and Applications (AAAI Spring Symposium Series).
26. Richard Socher, Alex Perelygin, Jean Y. Wu, Jason Chuang, Christopher D. Manning, Andrew Y. Ng, and Christopher Potts. 2013. Recursive deep models for semantic compositionality over a sentiment treebank. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), Seattle, USA.
27. Maite Taboada, Julian Brooke, Milan Tofiloski, Kimberly Voll, and Manfred Stede. 2011. Lexicon-based methods for sentiment analysis. Computational Linguistics, 37(2):267-307.
28. Kai Sheng Tai, Richard Socher, and Christopher D Manning. 2015. Improved semantic representations from tree-structured long short-term memory networks. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, pages 1556-1566, Beijing, China.
29. Michael Wiegand, Alexandra Balahur, Benjamin Roth, Dietrich Klakow, and Andrés Montoyo. 2010. A survey on the role of negation in sentiment analysis. In Proceedings of the Workshop on Negation and Speculation in Natural Language Processing (NeSp-NLP), pages 60-68, Stroudsburg, PA, USA.
30. Theresa Wilson, Janyce Wiebe, and Paul Hoffmann. 2005. Recognizing contextual polarity in phrase-level sentiment analysis. In Proceedings of the Joint Conference on HLT and EMNLP, pages 347-354, Stroudsburg, PA, USA.
31. Ainur Yessenalina and Claire Cardie. 2011. Compositional matrix-space models for sentiment analysis. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 172-182.
32. 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, pages 304-313, Baltimore, Maryland, June.