Patterns in the stream: Exploring the interaction of polarity, topic, and discourse in a large opinion corpus

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2009, Pages 1-8

  Brooke, Julian ^a   Hurst, Matthew ^b  

^a UNIVERSITY OF TORONTO   (Canada)

^b MICROSOFT   (United States)

Author keywords

Discourse analysis; Opinion mining; Sentiment analysis; Topic detection

Indexed keywords

CONCENTRATION OF; DISCOURSE ANALYSIS; DISCOURSE MARKERS; KEY TOPICS; OPINION MINING; SENTIMENT ANALYSIS; TOPIC DETECTION; VIDEO GAME;

ONTOLOGY; SECURITY SYSTEMS; SEMANTICS;

KNOWLEDGE MANAGEMENT;

EID: 74049139935     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1651461.1651463     Document Type: Conference Paper

References (27)

1. Alina Andreevskaia and Sabine Bergler. When specialists and generalists work together: Domain dependence in sentiment tagging. In Proceedings of 46th Annual Meeting of the ACL, pages 290-298, 2008.
2. Anthony Aue and Michael Gamon. Customizing sentiment classifiers to new domains: A case study. In Proceedings of the RANLP, 2005.
3. Heike Bieler, Stefanie Dipper and Manfred Stede. Identifying formal and functional zones in film reviews. In Proceedings of the 8th SIGDIAL, pages 75-78, 2007.
4. John Blitzer, Mark Dredze, and Fernando Pereira. Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaption for Sentiment Classification. In Proceedings of the ACL, 2007.
5. Julian Brooke. A Semantic Approach to Automated Text Sentiment Analysis. Unpublished Master's Thesis, Simon Fraser University, 2009.
6. Julian Brooke, Milan Tofiloski, and Maite Taboada. Cross-linguistic sentiment analysis: from English to Spanish. In Proceedings of the RANLP, 2009.
7. Jill Burnstien, Daniel Marcu, and Kevin Knight. Finding the WRITE stuff: Automatic identification of discourse structure in student essays. IEEE Intelligent Systems: Special Issue on Natural Language Processing, 18(1), pages 32-39, 2003.
8. Guiseppe Carenini, Raymond Ng, and Ed Zwart. Extracting knowledge from evaluative text. In Proceedings of the Third International Conference on Knowledge Capture, 2005.
9. Joseph L Fleiss. Measuring nominal scale agreement among many raters. Psychological Bulletin, 76, pages 378-382, 1971.
10. Alistair Kennedy and Diana Inkpen. Sentiment classification of movie and product reviews using contextual valence shifters. Computational Intelligence, 22(2), pages 110-125, 2006.
11. Alistair Knott. A Data-Driven Methodology for Motivating a Set of Coherence Relations. Edinburgh, UK: University of Edinburgh Thesis, 1996.
12. Jingjing Liu, Yunbo Cao, Chin-Yew Lin, Yalou Huang, Ming Zhou. Quality product review detection in opinion summarization. In Proceedings of the EMNLP, pages 334-342, 2007.
13. Yi Mao and Guy Lebanon. Isotonic Conditional Random Fields and Local Sentiment Flow. In Advances in Neural Information Processing Systems, 2007
14. William C. Mann and Sandra A. Thompson. Towards a functional theory of text organization. Text, 8, pages 243-281.
15. James R. Martin and Peter White. The Language of Evaluation. New York: Palgrave, 2005.
16. th International Conference on World Wide Web, 2007.
17. Jane Morris and Graeme Hirst. Lexical cohesion computed by thesaural relations as an indicator of the structure of text. Computational Linguistics, 17(1), pages 21-48, 1991.
18. Bo Pang, Lillian Lee, and Shvakumar Vaithyanathan. Thumbs up? Sentiment Classification using Machine Learning Techniques. In Proceedings of the EMNLP, 2002.
19. Bo Pang and Lillian Lee. A sentimental education: Sentiment analysis using subjectivity summarization based on minimal cuts. In Proceedings of the ACL, 2004.
20. Livia Polanyi and Annie Zaenen. Contextual valence shifters. In Computing Attitude and Affect in Text: Theory and Applications. J.G. Shanahan, Y. Qu, and J. Wiebe, Eds., Springer: Dordecht, pages 1-10, 2006.
21. Ana-Maria Popescu and Oren Etzioni. Extracting product features and opinions from reviews. In Proceedings of the EMNLP, 2005.
22. Heather Stark. What do paragraph markings do? Discourse Processes, 11, pages 275-303, 1998.
23. Maite Taboada and Jack Grieve. Analyzing appraisal automatically. AAAI Technical Report SS-04-07, pages 158-161, 2004.
24. Maite Taboada, Julian Brooke, and Manifred Stede. Genre-based paragraph classification for sentiment analysis. In Proceedings of 10th SIGDIAL, 2009.
25. Ivan Titov and Ryan McDonald. A joint model of text and aspect ratings for sentiment summarization. In Proceedings of the ACL, 2008.
26. Peter Turney. Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews.In Proceedings of the ACL, 2002.
27. Janyce Wiebe and Ellen Riloff. Creating subjective and objective sentence classifiers from unannotated texts. In Proceedings of CICLing, 2005.