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Document Classification and Text Categorization

1.
David D. Lewis and Marc Ringuette.
1994
A comparison of two learning algorithms for text categorization.
In Third Annual Symposium on Document Analysis and Information Retrieval, pages 81-93, Las Vegas, NV, April 11-13 1994. ISRI; Univ. of Nevada, Las Vegas.

2.
David D. Lewis.
1996
Challenges in machine learning for text classification.
In Proceedings of the Ninth Annual Conference on Computational Learning Theory, page 1, New York, 1996. ACM.

3.
Robert E. Schapire and Yoram Singer.
2000
BoosTexter: A boosting-based system for text categorization.
Machine Learning, 39(2/3):135-168, 2000.

4.
Rayid Ghani.
2001.
Using Error-Correcting Codes for Efficient Text Classification with a Large Number of Categories.
Masters Project Report. Center for Automated Learning & Discovery, Carnegie Mellon University (2001)

5.
Sam Scott, Stan Matwin.
1999.
Feature Engineering for Text Classification.
Machine Learning: Proceedings of the Sixteenth International Conference 1999, pp. 379-388.

6.
Sam Scott
1998.
Feature Engineering for a Symbolic Approach to Text Classification
Masters Thesis. University of Ottawa, Computer Science Department Technical Report TR-98-09.

7.
Andrew McCallum and Kamal Nigam
1998.
A Comparison of Event Models for Naive Bayes Text Classification. Andrew McCallum and Kamal Nigam. AAAI-98 Workshop on "Learning for Text Categorization". AAAI-98 Workshop on "Learning for Text Categorization".

8.
T. Joachims,
2001
A Statistical Learning Model of Text Classification with Support Vector Machines.
Proceedings of the Conference on Research and Development in Information Retrieval (SIGIR), ACM, 2001.

9.
T. Joachims,
1998
Text Categorization with Support Vector Machines: Learning with Many Relevant Features.
Proceedings of the European Conference on Machine Learning (ECML), Springer, 1998.

10.
C. Apte, F. Damerau, S.M. Weiss
1994
Automated Learning of Decision Rules for Text Categorization
ACM Transactions on Information Systems, 12(3), pages 233-251

11.
William J. Teahan and David J. Harper.
2001.
Using Compression-Based Language Models for Text Categorization
Workshop on Language Modeling and Information Retrieval, 2001.

12.
S. T. Dumais
1998.
Using SVMs for text categorization.
In IEEE Intelligent Systems Magazine, Trends and Controversies, Marti Hearst, ed., 13(4), July/August 1998.

13.
S. T. Dumais, J. Platt, D. Heckerman and M. Sahami
1998.
Inductive learning algorithms and representations for text categorization.
In Proceedings of ACM-CIKM98, Nov. 1998, pp. 148-155.

14.
Nitin Thaper
2001
Using compression for source based classification of text. MS thesis, MIT

15.
Andrew McCallum and Kamal Nigam.
1998.
Employing EM in Pool-Based Active Learning for Text Classification.
ICML-98.

16.
Lars Kai Hansen, Sigurdur Sigurdsson, Thomas Kolenda, Finn Arup Nielsen.
2000.
Modeling Text With Generalizable Gaussian Mixtures.
ICASSP'2000 Istanbul, Turkey, 2000 June

17.
Kamal Nigam, Andrew McCallum, Sebastian Thrun and Tom Mitchell.
Text Classification from Labeled and Unlabeled Documents using EM.
Machine Learning, 39(2/3). pp. 103-134. 2000.

18.
Rayid Ghani,Sean Slattery,Yiming Yang
2001.
Hypertext Categorization using Hyperlink Patterns and Meta Data.
ICML 2001.

19.
Yiming Yang, Sean Slattery and Rayid Ghani.
2001.
A Study of Approaches for Hypertext Categorization.
To Appear in the Journal of Intelligent Information systems - Special Issue on Automatic Text Categorization (2001).


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