Unifying Local and Global Agreement and Disagreement Classification in Online Debates

Proceedings of the Annual Meeting of the Association for Computational Linguistics

Volumn , Issue , 2012, Pages 61-69

  Yin, Jie ^a   Narang, Nalin ^b   Thomas, Paul ^a   Paris, Cecile ^a  

^a CSIRO   (Australia)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); NATURAL LANGUAGE PROCESSING SYSTEMS; SOCIAL NETWORKING (ONLINE);

COMMUNICATION PLATFORMS; DYNAMIC NATURE; INFORMATION EXCHANGES; LOCAL CONTEXTS; NON-AGGREGATION; PERFORMANCE; POST YIELDS;

INFORMATION DISSEMINATION;

EID: 85121829931     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Rakesh Agrawal, Sridhar Rajagopalan, Ramakrishnan Srikant, and Yirong Xu. 2003. Mining newsgroups using networks arising from social bahavior. In Proceedings of the 12th International World Wide Web Conference, pages 529-535, Budapest, Hungary, May.
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 7th Conference on Internatinal Language Resources and Evaluation, pages 2200-2204, Valletta, Malta, May.
3. Ramnath Balasubramanyan and William W. Cohen. 2011. What pushes their buttons? Predicting comment polarity from the content of political blog posts. In Proceedings of the ACL Workshop on Language in Social Media, pages 12-19, Porland, Oregon, USA, June.
4. Farah Benamara, Carmine Cesarano, Antonio Picariello, Diego Reforgiato, and V. S. Subrahmanian. 2007. Sentiment analysis: Adjectives and adverbs are better than adjectives alone. In Proceedings of the International AAAI Conference onWeblogs and Social Media, Boulder, CO, USA, March.
5. 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.
6. Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, and Chih-Jen Lin. 2008. LIBLINEAR: A library for large linear classification. Journal of Machine Learning Research, 9:1871-1874.
7. Michel Galley, Kathleen McKeown, Julia Hirschberg, and Elizabeth Shriberg. 2004. Identifying agreement and disagreement in conversational speech: Use of Bayesian networks to model pragmatic dependencies. In Proceedings of the 42nd Meeting of the Association for Computational Linguistics, pages 669-676, Barcelona, Spain, July.
8. Fan Li and Yiming Yang. 2003. A loss function analysis for classification methods in text categorisation. In Proceedings of the 20th International Conference on Machine Learning, pages 472-479, Washington, DC, USA, July.
9. Chih-Jen Lin, Ruby C. Weng, and S. Sathiya Keerthi. 2008. Trust region Newton method for large-scale logistic regression. Journal of Machine Learning Research, 9:627-650.
10. Akiko Murakami and Rudy Raymond. 2010. Support or oppose? Classifying positions in online debates from reply activities and opinion expressions. In Proceedings of the 23rd International Conference on Computational Linguistics, pages 869-875, Beijing, China, August.
11. Sinno Jialin Pan, Xiaochuan Ni, Jian-Tao Sun, Qiang Yang, and Zheng Chen. 2010. Cross-domain sentiment classification via spectral feature alignment. In Proceedings of the 19th International World Wide Web Conference, pages 751-760, Raleigh, NC, USA, April.
12. Swapna Somasundaran and JanyceWiebe. 2010. Recognizing stances in ideological on-line debates. In Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text, pages 116-124, Los Angeles, CA, USA, June.
13. V. S. Subrahmanian and Diego Regorgiato. 2008. AVA: Adjective-verb-adverb combinations for sentiment analysis. Intelligent Systems, 23(4):43-50.
14. Matt Thomas, Bo Pang, and Lillian Lee. 2006. Get out the vote: Determining support or opposition from congressional floor-debate transcripts. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 327-335, Sydney, Australia, July.
15. Wen Wang, Sibel Yaman, Kristin Precoda, Colleen Richey, and Geoffrey Raymond. 2011. Detection of agreement and disagreement in broadcast conversations. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics, pages 374-378, Porland, Oregon, USA, June.
16. Tong Zhang and Frank J. Oles. 2001. Text categorisation based on regularised linear classification methods. Information Retrieval, 4(1):5-31.