Genre-based paragraph classification for sentiment analysis

Proceedings of the SIGDIAL 2009 Conference: 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue

Volumn , Issue , 2009, Pages 62-70

  Taboada, Maite ^a   Brooke, Julian ^b   Stede, Manfred ^c  

^a SIMON FRASER UNIVERSITY   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

^c UNIVERSITY OF POTSDAM   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION SYSTEM; MOVIE REVIEWS;

SENTIMENT ANALYSIS;

EID: 77956335902     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1708376.1708385     Document Type: Conference Paper

References (27)

1. Andreevskaia, Alina & Sabine Bergler. 2008. When specialists and generalists work together: Domain dependence in sentiment tagging. Proceedings of 46th Annual Meeting of the Association for Computational Linguistics (pp. 290-298). Columbus, OH.
2. Aue, Anthony & Michael Gamon. 2005. Customizing sentiment classifiers to new domains: A case study. Proceedings of the International Conference on Recent Advances in Natural Language Processing. Borovets, Bulgaria.
3. Biber, Douglas. 1988. Variation across Speech and Writing. Cambridge: Cambridge University Press.
4. Bieler, Heike, Stefanie Dipper & Manfred Stede. 2007. Identifying formal and functional zones in film reviews. Proceedings of the 8th SIGdial Workshop on Discourse and Dialogue (pp. 75-78). Antwerp, Belgium.
5. Boucher, Jerry D. & Charles E. Osgood. 1969. The Pollyanna hypothesis. Journal of Verbal Learning and Verbal Behaviour, 8: 1-8.
6. Di Eugenio, Barbara & Michael Glass. 2004. The kappa statistic: A second look. Computational Linguistics, 30(1): 95-101.
7. Eggins, Suzanne & James R. Martin. 1997. Genres and registers of discourse. In Teun A. van Dijk (ed.), Discourse as Structure and Process. Discourse Studies: A Multidisciplinary Introduction (pp. 230-256). London: Sage.
8. Eggins, Suzanne & Diana Slade. 1997. Analysing Casual Conversation. London: Cassell.
9. Esuli, Andrea & Fabrizio Sebastiani. 2006. Senti-WordNet: A publicly available lexical resource for opinion mining. Proceedings of 5th International Conference on Language Resources and Evaluation (LREC) (pp. 417-422). Genoa, Italy.
10. Fleiss, Joseph L. 1971. Measuring nominal scale agreement among many raters. Psychological Bulletin, 76: 378-382.
11. Kennedy, Alistair & Diana Inkpen. 2006. Sentiment classification of movie and product reviews using contextual valence shifters. Computational Intelligence, 22(2): 110-125. (Pubitemid 43787303)
12. Knott, Alistair. 1996. A Data-Driven Methodology for Motivating a Set of Coherence Relations. Edinburgh, UK: University of EdinburghThesis Type.
13. Martin, James R. & Peter White. 2005. The Language of Evaluation. New York: Palgrave.
14. Nigam, Kamal & Matthew Hurst. 2006. Towards a robust metric of polarity. In Janyce Wiebe (ed.), Computing Attitude and Affect in Text: Theory and Applications (pp. 265-279). Dordrecht: Springer.
15. Orasan, Constantin. 2003. PALinkA: A highly customizable tool for discourse annotation. Proceedings of 4th SIGdial Workshop on Discourse and Dialog (pp. 39 - 43). Sapporo, Japan.
16. Pang, Bo & Lillian Lee. 2004. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. Proceedings of 42nd Meeting of the Association for Computational Linguistics (pp. 271-278). Barcelona, Spain.
17. Pang, Bo, Lillian Lee & Shivakumar Vaithyanathan. 2002. Thumbs up? Sentiment classification using Machine Learning techniques. Proceedings of Conference on Empirical Methods in NLP (pp. 79-86).
18. Polanyi, Livia & Annie Zaenen. 2006. Contextual valence shifters. In James G. Shanahan, Yan Qu & Janyce Wiebe (eds.), Computing Attitude and Affect in Text: Theory and Applications (pp. 1-10). Dordrecht: Springer.
19. Seki, Yohei, Koji Eguchi & Noriko Kando. 2006. Multi-document viewpoint summarization focused on facts, opinion and knowledge. In Janyce Wiebe (ed.), Computing Attitude and Affect in Text: Theory and Applications (pp. 317-336). Dordrecht: Springer.
20. Stone, Philip J. 1997. Thematic text analysis: New agendas for analyzing text content. In Carl Roberts (ed.), Text Analysis for the Social Sciences. Mahwah, NJ: Lawrence Erlbaum.
21. Taboada, Maite, Caroline Anthony & Kimberly Voll. 2006. Creating semantic orientation dictionaries. Proceedings of 5th International Conference on Language Resources and Evaluation (LREC) (pp. 427-432). Genoa, Italy.
22. Taboada, Maite & Jack Grieve. 2004. Analyzing appraisal automatically. Proceedings of AAAI Spring Symposium on Exploring Attitude and Affect in Text (AAAI Technical Report SS-04-07) (pp. 158-161). Stanford University, CA. (Pubitemid 43258124)
23. Turney, Peter. 2002. Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews. Proceedings of 40th Meeting of the Association for Computational Linguistics (pp. 417-424).
24. Voll, Kimberly & Maite Taboada. 2007. Not all words are created equal: Extracting semantic orientation as a function of adjective relevance. Proceedings of the 20th Australian Joint Conference on Artificial Intelligence (pp. 337-346). Gold Coast, Australia.
25. Whitelaw, Casey, Navendu Garg & Shlomo Argamon. 2005. Using Appraisal groups for sentiment analysis. Proceedings of ACM SIGIR Conference on Information and Knowledge Management (CIKM 2005) (pp. 625-631). Bremen, Germany. (Pubitemid 44022238)
26. Wiebe, Janyce & Ellen Riloff. 2005. Creating subjective and objective sentence classifiers from unannotated texts. Proceedings of Sixth International Conference on Intelligent Text Processing and Computational Linguistics (CICLing-2005). Mexico City, Mexico.
27. Witten, Ian H. & Eibe Frank. 2005. Data Mining: Practical Machine Learning Tools and Techniques (2nd edn.). San Francisco: Morgan Kaufmann.