Vocabulary choice as an indicator of perspective

ACL 2010 - 48th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference

Volumn , Issue , 2010, Pages 253-257

  Klebanov, Beata Beigman ^a,b   Beigman, Eyal ^a,b   Diermeier, Daniel ^a,b  

^a NORTHWESTERN UNIVERSITY   (United States)

^b WASHINGTON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; FEATURE SETS; TERM FREQUENCY; WORD FREQUENCIES;

COMPUTATIONAL LINGUISTICS; INFORMATION RETRIEVAL SYSTEMS;

CLASSIFICATION (OF INFORMATION);

EID: 84859952005     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Herald Baayen. 2001. Word frequency distributions. Dordrecht: Kluwer.
2. Marco Baroni and Stefan Evert. 2007. Words and Echoes: Assessing and Mitigating the Non-Randomness Problem in Word Frequency Distribution Modeling. In Proceedings of the ACL, pages 904-911, Prague, Czech Republic.
3. Suma Bhat and Richard Sproat. 2009. Knowing the Unseen: Estimating Vocabulary Size over Unseen Samples. In Proceedings of the ACL, pages 109-117, Suntec, Singapore, August.
4. Stephan Greene and Philip Resnik. 2009. More than Words: Syntactic Packaging and Implicit Sentiment. In Proceedings of HLT-NAACL, pages 503-511, Boulder, CO, June.
5. Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringe, Peter Reutemann, and Ian H. Witten. 2009. The WEKA data mining software: An update. SIGKDD Explorations, 11(1).
6. Marti Hearst. 1997. TextTiling: Segmenting Text into Multi-Paragraph Subtopic Passages. Computational Linguistics, 23(1):33-64.
7. Michael Hoey. 1991. Patterns of Lexis in Text. Oxford University Press.
8. Martin Jansche. 2003. Parametric Models of Linguistic Count Data. In Proceedings of the ACL, pages 288-295, Sapporo, Japan, July.
9. Thorsten Joachims. 1999. Making large-scale SVM learning practical. In B. Schlkopf, C. Burges, and A. Smola, editors, Advances in Kernel Methods -Support Vector Learning. MIT Press.
10. Wei-Hao Lin and Alexander Hauptmann. 2006. Are these documents written from different perspectives? A test of different perspectives based on statistical distribution divergence. In Proceedings of the ACL, pages 1057-1064, Morristown, NJ, USA.
11. Wei-Hao Lin, Theresa Wilson, Janyce Wiebe, and Alexander Hauptmann. 2006. Which side are you on? Identifying perspectives at the document and sentence levels. In Proceedings of CoNLL, pages 109-116, Morristown, NJ, USA.
12. Andrew McCallum and Kamal Nigam. 1998. A comparison of event models for Naive Bayes text classification. In Proceedings of AAAI-98 Workshop on Learning for Text Categorization, pages 41-48, Madison, WI, July.
13. Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan. 2002. Thumbs up? Sentiment Classification using Machine Learning Techniques. In Proceedings of EMNLP, Philadelphia, PA, July.
14. Wolfgang Teubert. 2001. A Province of a Federal Superstate, Ruled by an Unelected Bureaucracy - Keywords of the Euro-Sceptic Discourse in Britain. In Andreas Musolff, Colin Good, Petra Points, and Ruth Wittlinger, editors, Attitudes towards Europe: Language in the unification process, pages 45-86. Ashgate Publishing Ltd, Hants, England.
15. Ian H. Witten and Eibe Frank. 2005. Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann, 2 edition.
16. Bei Yu, Stefan Kaufmann, and Daniel Diermeier. 2008. Classifying party affiliation from political speech. Journal of Information Technology and Politics, 5(1):33-48.