Semi-supervised self-training for sentence subjectivity classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5032 LNAI, Issue , 2008, Pages 344-355

  Wang, Bin ^a   Spencer, Bruce ^b   Ling, Charles X ^c   Zhang, Harry ^a  

^a UNIVERSITY OF NEW BRUNSWICK   (Canada)

^b NATIONAL RESEARCH COUNCIL CANADA   (Canada)

^c UNIVERSITY OF WESTERN ONTARIO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); MATHEMATICAL MODELS; PROBABILITY; SUPERVISED LEARNING; TREES (MATHEMATICS);

SUBJECTIVITY CLASSIFICATION; UNDERLYING CLASSIFIERS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 44649177772     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-68825-9_32     Document Type: Conference Paper

References (22)

1. Dave, K., Lawrence, S., Pennock, D.M.: Mining the Peanut Gallery: Opinion Extraction and Semantic Classification of Produce Reviews. In: Proceedings of the 12th International World Wide Web Conference (WWW 2003) (2003)
2. Huang, J., Lu, J., Ling, C.X.: Comparing Naive Bayes, Decision Trees, and SVM using Accuracy and AUC. In: Proceedings of The Third IEEE International Conference on Data Mining (ICDM 2003) (2003)
3. Kohavi, R.: Scaling Up the Accuracy of Naive-bayes Classifiers: a decision-tree Hybrid. In: Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (1996)
4. Provost, F., Domingos, P.: Tree Induction for Probability-based Ranking. Machine Learning 52, 199-216 (2003)
5. Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, Inc., Los Altos, California (1993)
6. Quirk, R., Greenbaum, S., Leech, G., Svartvik, J.: A comprehensive Grammar of the Enligsh Language. Longman, New York (1985)
7. Reichart, R., Rappoport, A.: Self-Training for Enhancement and Domain Adaptation of Statistical Parsers Trained on Small Datasets. In: Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics (ACL 2007) (2007)
8. Riloff, E.: Automatically Generating Extraction Patterns from Untagged Text. In: Proceedings of the AAAI 1996 (1996)
9. Riloff, E., Phillops, W.: An Introduction to the Sundance and AutoSlog Systems. Technical Report (2004)
10. Riloff, E., Wiebe, J.: Learning Extraction Patterns for Subjective Expressions. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (2003)
11. Riloff, E., Wiebe, J., Phillips, W.: Exploiting Subjectivity Classification to Improve Information Extraction. In: Proceedings of the 20th National Conference on Artificial Intelligence, AAAI Press, Menlo Park (2005)
12. Riloff, E., Wiebe, J., Wilson, T.: Learning Subjective Nouns Using Extraction Pattern Bootstrapping. In: Proceedings of the 7th conference on Natural Language Learning (CoNLL 2003), pp. 25-32 (2003)
13. Steedman, M., Osborne, M., Sarkar, A., Clark, S., Hwa, R., Hockenmaier, J., Ruhlen, P., Baker, S., Crim, J.: Bootstrapping statistical parsers from small datasets. In: Proceedings of the 11th conference of the European Association for Computational Linguistics (EACL 2003) (2003)
14. Seki, Y., Evans, D.K., Ku, K., Chen, H., Kando, N., Lin, C.: Overview of Opinion Analysis Pilot Task at NTCIR-6. In: Proceedings of NTCIR-6 Workshop Meeting (2007)
15. Turney, P.: Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews. In: Proceedings of the ACL 2002 (2002)
16. Wiebe, J., Bruce, R., O'Hara, T.: Development and Use of a Gold Standard Data Set for Subjectivity Classifications. In: Proceedings of the ACL 1999 (1999)
17. Wiebe, J., Riloff, E.: Creating Subjective and Objective Sentence Classifiers from Unannotated Texts. In: Gelbukh, A. (ed.) CICLing 2005. LNCS, vol. 3406, Springer, Heidelberg (2005)
18. Wiebe, J., Wilson, T., Bell, M.: Identifying Collocations for Recognizing Opinions. In: Proceedings of the ACL 2001 Workshop on Collocation: Computational Extraction, Analysis, and Exploitation, pp. 24-31 (2001)
19. Wiebe, J., Wilson, T., Cardie, C.: Annotating Expressions of Opinions and Emotions in Language. Language Resources and Evaluation 39, 165-210 (2005)
20. Wilson, T., Hoffmann, P., Somasundaran, S., Kessler, J., Wiebe, J., Choi, Y., Cardie, C., Riloff, E., Patwardhan, S.: OpinionFinder: Asystem for subjectivity analysis. In: Proceedings of HLT/EMNLP Interactive Demonstrations (2005)
21. Wilson, R.D., Martinez, T.R.: Improved Heterogeneous Distance Functions. Journal of Artificial Intelligence Research 6, 1-34 (1997)
22. Witten, I.H., Frank, E.: Data Mining-practical Machine Learning Tools and Techniques with Java Implementation. Morgan Kaufmann, San Mateo (2000)