Document classification through interactive supervision of document and term labels

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

Volumn 3202, Issue , 2004, Pages 185-196

  Godbole, Shantanu ^a   Harpale, Abhay ^a   Sarawagi, Sunita ^a   Chakrabarti, Soumen ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); LABELS; TEXT PROCESSING;

COGNITIVE LOADS; DOCUMENT CLASSIFICATION; FEATURE REPRESENTATION; HIGH-ACCURACY; HUMAN EXPERTISE; IN CONTEXTS; TEXT CLASSIFICATION; TEXT CLASSIFIERS;

INFORMATION RETRIEVAL SYSTEMS;

EID: 35048863592     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30116-5_19     Document Type: Article

References (14)

1. T. Joachims. Text categorization with support vector machines: learning with many relevant features. In Proceedings of ECML-98.
2. K. Nigam, J. Lafferty, and A. McCallum. Using maximum entropy for text classification. In IJCAI'99 Workshop on Information Filtering.
3. J. Zhang and Y. Yang. Robustness of regularized linear classification methods in text categorization. In SIGIR, 2003.
4. Third workshop on Operational Text Classification OTC 2003. In conjunction with SIGKDD 2003.
5. D. A. Cohn, Z. Ghahramani, and M. I. Jordan. Active learning with statistical models. In Advances in Neural Information Processing Systems, 1995.
6. S. Tong and D. Koller. Support vector machine active learning with applications to text classification. Journal of Machine Learning Research, 2:45-66, Nov. 2001.
7. Y. Freund, H. S. Seung, E. Shamir, and N. Tishby. Selective sampling using the query by committee algorithm. Machine Learning, 28(2-3):133-168, 1997.
8. C. Hsu and C. Lin. A comparison of methods for multi-class support vector machines. In IEEE Transactions on Neural Networks, 13(2002), 415-425, 2001.
9. A. Harpale. Practical alternatives for active learning with applications to text classification. Master's Thesis, IIT Bombay, 2004.
10. A. K. McCallum and K. Nigam. Employing EM in pool-based active learning for text classification. In Proceedings of ICML-98.
11. S. Sarawagi, S. Chakrabarti, and S. Godbole. Cross-training: Learning probabilistic mappings between topics. In SIGKDD, 2003.
12. ∼cjlin/libsvm/
13. D. Lizotte, O. Madani, and R. Greiner. Budgeted learning of naive-bayes classifiers. In UAI, 2003.
14. H. Avancini, A. Lavelli, B. Magnini, F. Sebastiani, and R. Zanoli. Expanding domain-specific lexicons by term categorization. In SAC, 2003.