Classification des documents

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1. Survol gégéral des techniques utilisées en RI:

Kjersti Aas, Line Eikvil, Text Categorisation: A Survey. http://citeseer.nj.nec.com/aas99text.html

Fabrizio Sebastiani. A Tutorial on Automated Text Categorisation. In Analia Amandi and Ricardo Zunino, editors, Proceedings of ASAI-99, 1st Argentinian Symposium on Artificial Intelligence, pages 7--35, Buenos Aires, AR, 1999.", http://citeseer.nj.nec.com/sebastiani99tutorial.html

F. Sebastiani. Machine learning in automated text categorisation: a survey. Technical Report IEI-B4-31-1999, Istituto di Elaborazione dell'Informazione, C.N.R., Pisa, IT, 1999. http://citeseer.nj.nec.com/sebastiani99machine.html

2. Comparaisons des techniques:

Yang, Y. (1999). An evaluation of statistical approaches to text categorization. Journal of Information Retrieval, 1999, http://citeseer.nj.nec.com/yang97evaluation.html

Y. Yang and X. Liu, A re-examination of text categorization methods, 22nd Annual International SIGIR, 42--49, http://citeseer.nj.nec.com/yang99reexamination.html

Yiming Yang and Jan O. Pedersen, A comparative study on feature selection in text categorization, Proc. 14th International Conference on Machine Learning, 412--420, 1997, http://citeseer.nj.nec.com/yang97comparative.html

D. Lewis, R. Schapire, J. Callan, and R. Papka ,Training Algorithms for Linear Text Classifiers, Proceedings of ACM SIGIR, pp.298-306, 1996

McCallum and K. Nigam. A comparison of event models for Naive Bayes text classification. In AAAI-98 Workshop on Learning for Text Categorization, 1998. http://citeseer.nj.nec.com/mccallum98comparison.html

David D. Lewis and Marc Ringuette, A comparison of two learning algorithms for text categorization, Proceedings of SDAIR-94, 3rd Annual Symposium on Document Analysis and Information Retrieval, Las Vegas, US. http://www.research.att.com/~lewis/papers/lewis94b.ps ou http://citeseer.nj.nec.com/lewis94comparison.html

David D. Lewis and William A. Gale, A sequential algorithm for training text classifiers, Proceedings of SIGIR-94, 17th ACM International Conference on Research and Development in Information Retrieval, Springer Verlag, Heidelberg, DE, Dublin, 3--12, 1994, http://citeseer.nj.nec.com/lewis95sequential.html ou http://www.research.att.com/~lewis/papers/lewis94c.ps

 

 

 

 

3. Utilisation de Support Vector Machine pour la classification:

Joachims, T. (1998). Text categorization with Support Vector Machines: Learning with many relevant features. In Machine Learning: ECML-98, Tenth European Conference on Machine Learning, pp. 137--142, 1998, http://citeseer.nj.nec.com/joachims98text.html

Un tutoriel sur SVM:

A.J. Smola and B. Schölkopf. A tutorial on support vector regression. NeuroCOLT2 Technical Report NC2-TR-1998-030, 1998, http://citeseer.nj.nec.com/smola98tutorial.html

4. Classification hiérarchique (appliquée au Web):

Susan Dumais, Hao Chen, Hierarchical Classification of Web Content, SIGIR, 1999, http://citeseer.nj.nec.com/405611.html

Stephen D'Alessio, Keitha Murray, Robert Schiaffino, The Effect of Using Hierarchical Classifiers in Text Categorization, http://citeseer.nj.nec.com/410559.html

5. Sélection des "features"

Luigi Galavotti, Fabrizio Sebastiani, Maria Simi, Feature Selection and Negative Evidence in Automated Text Categorization, http://citeseer.nj.nec.com/326531.html

Lewis, D. D. (1992b). Feature selection and feature extraction for text categorization. Proceedings of Speech and Natural Language Workshop (pp. 212--217). San Francsico: Morgan Kaufmann. http://citeseer.nj.nec.com/lewis92feature.html

6. D'autres approches

William W. Cohen and Yoram Singer. Contextsensitive learning methods for text categorization. In Proceedings of the 19th Annual International ACM Conference on Research and Development in Information Retrieval, pages 307--315, Zurich, Switzerland, 1996. ACM Press. http://citeseer.nj.nec.com/194019.html

Giuseppe Attardi, Antonio Gull, and Fabrizio Sebastiani. Automatic Web page categorization by link and context analysis. In Chris Hutchison and Gaetano Lanzarone, editors, Proceedings of THAI'99, European Symposium on Telematics, Hypermedia and Artificial Intelligence, pages 105--119, Varese, IT, 1999. http://citeseer.nj.nec.com/attardi99automatic.html

Eui-Hong Han. Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification. PhD thesis, University of Minnesota, October 1999. http://citeseer.nj.nec.com/han99text.html