An empirical study on the effect of negation words on sentiment

52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference

Volumn 1, Issue , 2014, Pages 304-313

  Zhu, Xiaodan ^a   Guo, Hongyu ^a   Mohammad, Saif ^a   Kiritchenko, Svetlana ^a  

^a NATIONAL RESEARCH COUNCIL CANADA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS; SEMANTICS;

COMPOSITION MODEL; EMPIRICAL STUDIES; FITTING ERROR; RECURSIVE NEURAL NETWORKS; TREEBANKS;

COMPUTATIONAL LINGUISTICS;

EID: 84906927523     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/p14-1029     Document Type: Conference Paper

References (27)

1. Farah Benamara, Baptiste Chardon, Yannick Mathieu, Vladimir Popescu, and Nicholas Asher. 2012. How do negation and modality impact on opinions? In Proceedings of the ACL-2012 Workshop on Extra- Propositional Aspects of Meaning in Computational Linguistics, pages 10-18, Jeju, Republic of Korea.
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 '08, pages 793-801, Honolulu, Hawaii.
3. Christoph Goller and Andreas Kchler. 1996. Learning task-dependent distributed representations by backpropagation through structure. In In Proc. of the ICNN-96, pages 347-352, Bochum, Germany. IEEE.
4. Sanda Harabagiu, Andrew Hickl, and Finley Lacatusu. 2006. Negation, contrast and contradiction in text processing. In AAAI, volume 6, pages 755-762.
5. Vasileios Hatzivassiloglou and Kathleen R. McKeown. 1997. Predicting the semantic orientation of adjectives. In Proceedings of the 8th Conference of European Chapter of the Association for Computational Linguistics, EACL '97, pages 174-181, Madrid, Spain.
6. Lifeng Jia, Clement Yu, and Weiyi Meng. 2009. The effect of negation on sentiment analysis and retrieval effectiveness. In Proceedings of the 18th ACM Conference on Information and Knowledge Management, CIKM '09, pages 1827-1830, Hong Kong, China. ACM.
7. Alistair Kennedy and Diana Inkpen. 2006. Sentiment classification of movie reviews using contextual valence shifters. Computational Intelligence, 22(2):110-125.
8. Svetlana Kiritchenko, Xiaodan Zhu, and Saif Mohammad. 2014. Sentiment analysis of short informal texts. (to appear) Journal of Artificial Intelligence Research.
9. Dan Klein and Christopher D. Manning. 2003. Accurate unlexicalized parsing. In Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1, ACL '03, pages 423-430, Sapporo, Japan. Association for Computational Linguistics.
10. Emanuele Lapponi, Jonathon Read, and Lilja Ovrelid. 2012. Representing and resolving negation for sentiment analysis. In Jilles Vreeken, Charles Ling, Mohammed Javeed Zaki, Arno Siebes, Jeffrey Xu Yu, Bart Goethals, Geoffrey I. Webb, and XindongWu, editors, ICDMWorkshops, pages 687-692. IEEE Computer Society.
11. Jingjing Liu and Stephanie Seneff. 2009. Review sentiment scoring via a parse-and-paraphrase paradigm. In EMNLP, pages 161-169, Singapore.
12. Bing Liu and Lei Zhang. 2012. A survey of opinion mining and sentiment analysis. In Charu C. Aggarwal and ChengXiang Zhai, editors, Mining Text Data, pages 415-463. Springer US.
13. François Mairesse, Joseph Polifroni, and Giuseppe Di Fabbrizio. 2012. Can prosody inform sentiment analysis? experiments on short spoken reviews. In ICASSP, pages 5093-5096, Kyoto, Japan.
14. Tom M Mitchell. 1997. Machine learning. 1997. Burr Ridge, IL: McGraw Hill, 45.
15. SaifM.Mohammad, Bonnie J. Dorr, Graeme Hirst, and Peter D. Turney. 2013. Computing lexical contrast. Computational Linguistics, 39(3):555-590.
16. Karo Moilanen and Stephen Pulman. 2007. Sentiment composition. In Proceedings of RANLP 2007, Borovets, Bulgaria.
17. Roser Morante and Caroline Sporleder. 2012. Modality and negation: An introduction to the special issue. Computational linguistics, 38(2):223-260.
18. Bo Pang and Lillian Lee. 2005. Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales. In Proceedings of the AnnualMeeting of the Association for Computational Linguistics, ACL '05, pages 115-124.
19. Bo Pang and Lillian Lee. 2008. Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval, 2(1-2):1-135.
20. Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan. 2002. Thumbs up? sentiment classification using machine learning techniques. In Proceedings of EMNLP, pages 79-86, Philadelphia, USA.
21. Livia Polanyi and Annie Zaenen. 2004. Contextual valence shifters. In Exploring Attitude and Affect in Text: Theories and Applications (AAAI Spring Symposium Series).
22. Richard Socher, Brody Huval, Christopher D. Manning, and Andrew Y. Ng. 2012. Semantic compositionality through recursive matrix-vector spaces. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP '12, Jeju, Korea. Association for Computational Linguistics.
23. 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 '13, Seattle, USA. Association for Computational Linguistics.
24. Maite Taboada, Julian Brooke, Milan Tofiloski, Kimberly Voll, and Manfred Stede. 2011. Lexiconbased methods for sentiment analysis. Computational Linguistics, 37(2):267-307.
25. Peter Turney. 2002. Thumbs up or thumbs down? semantic orientation applied to unsupervised classification of reviews. In ACL, pages 417-424, Philadelphia, USA.
26. 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 '10, pages 60-68, Stroudsburg, PA, USA. Association for Computational Linguistics.
27. Theresa Wilson, Janyce Wiebe, and Paul Hoffmann. 2005. Recognizing contextual polarity in phraselevel sentiment analysis. In Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing, HLT '05, pages 347-354, Stroudsburg, PA, USA. Association for Computational Linguistics.