An empirical comparison of text categorization methods

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

Volumn 2857, Issue , 2003, Pages 183-196

  Cardoso Cachopo, Ana ^a,b   Oliveira, Arlindo L ^a,b  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

^b INESC ID   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

NEAREST NEIGHBOR SEARCH; SEMANTICS; SUPPORT VECTOR MACHINES;

COMPREHENSIVE COMPARISONS; EMPIRICAL - COMPARISONS; EVALUATION MEASURES; K-NEAREST NEIGHBORS; LATENT SEMANTIC ANALYSIS; MEAN RECIPROCAL RANKS; QUESTION ANSWERING TASK; TEXT CATEGORIZATION;

TEXT PROCESSING;

EID: 0142218945     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-39984-1_14     Document Type: Article

References (24)

1. Ricardo Baeza-Yates and Berthier Ribeiro-Neto. Modern Information Retrieval Addison-Wesley, Reading, Massachusetts, USA, 1999.
2. Adam Berger, Rich Caruana, David Cohn, Dayne Freitag, and Vibhu O. Mittal. Bridging the lexical chasm: statistical approaches to answer-finding. In Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 192-199, Athens, Greece, July 2000.
3. Christopher J. C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2):121-167, 1998.
4. John Caron. Experiments with LSA scoring: Optimal rank and basis. In Proceedings of SIAM Computational Information Retrieval Workshop, Raleigh, NC, USA, October 2000.
5. ∼cjlin/libsvm.
6. William S. Cooper. Expected search length: a single measure of retrieval effectiveness based on weak ordering action of retrieval systems. Journal of the American Society for Information Science, 19(1):30-41, 1968.
7. Corinna Cortes and Vladimir Vapnik. Support-vector networks. Machine Learning, 20(3):273-297, November 1995.
8. Robert M. Creecy, Brij M. Masand, Stephen J. Smith, and David L. Waltz. Trading MIPS and memory for knowledge engineering: classifying census returns on the Connection Machine. Communications of the ACM, 39(1):48-63, January 1996.
9. Nello Cristianini and John Shawe-Taylor. An Introduction to Support Vector Machines. Cambridge University Press, Cambridge, MA, USA, 2000.
10. Scott C. Deerwester, Susan T. Dumais, Thomas K. Landauer, George W. Furnas, and Richard A. Harshman. Indexing by latent semantic analysis. Journal of the American Society for Information Science, 41(6):391-407, 1990.
11. George W. Furnas, Scott C. Deerwester, Susan T. Dumais, Thomas K. Landauer, Richard A. Harshman, L.A. Streeter, and K.E. Lochbaum. Information retrieval using a singular value decomposition model of latent semantic structure. In Proceedings of the 11th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 465-480, Grassau, France, June 1988.
12. Thorsten Joachims. Text categorization with support vector machines: learning with many relevant features. In Claire Nédellec and Céline Rouveirol, editors, Proceedings of the 10th European Conference on Machine Learning, pages 137-142, Chemnitz, Germany, 1998. Springer-Verlag. Published in the "Lecture Notes in Computer Science" series, number 1398.
13. Thorsten Joachims. Transductive inference for text classification using support vector machines. In Ivan Bratko and Saso Dzeroski, editors, Proceedings of the 16th International Conference on Machine Learning, pages 200-209, Bled, Slovenia, 1999. Morgan Kaufmann Publishers, Inc.
14. Karen Spark Jones and Peter Willett, editors. Readings in Information Retrieval. Morgan Kaufmann Publishers, Inc., Los Altos, USA, 1997.
15. Briji Masand, Gordon Linoif, and David Waltz. Classifying news stories using memory-based reasoning. In Nicholas J. Belkin, Peter Ingwersen, and Annelise Mark Pejtersen, editors, Proceedings of the 15th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 59-65, Copenhagen, Denmark, June 1992. ACM Press.
16. Gerard Salton. The SMART Retrieval System. Prentice-Hall, Inc., New Jersey, USA, 1971.
17. Gerard Salton and Christopher Buckley. Term-weighting approaches in automatic text retrieval. Information Processing and Management, 24(5):513-523, 1988. Also reprinted in [14, pages 323-328].
18. Gerard Salton and Michael Lesk. Computer evaluation of indexing and text processing. Journal of the ACM, 15(1):8-36, January 1968. Also reprinted in [14, pages 60-84].
19. Fabrizio Sebastiani. Machine learning in automated text categorization. ACM Computing Surveys, 34(1):1-47, 2002.
20. Vladimir Vapnik. The Nature of Statistical Learning Theory. Springer-Verlag, Heidelberg, Germany, 1995.
21. Ellen M. Voorhees. The TREC-8 question answering track report. In Ellen M. Voorhees and Donna K. Harman, editors, Proceedings of the 8th Text REtrieval Conference, pages 77-82, Gaithersburg, Maryland, USA, November 1999.
22. Yiming Yang. Expert network: effective and efficient learning from human decisions in text categorisation and retrieval. In W. Bruce Croft and Cornells J. van Rijsbergen, editors, Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 13-22, Dublin, Ireland, July 1994. Springer-Verlag.
23. Yiming Yang and Xin Liu. A re-examination of text categorization methods. In Marti A. Hearst, Fredric Gey, and Richard Tong, editors, Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 42-49, Berkeley, CA, USA, August 1999.
24. Yiming Yang and Jan O. Pedersen. A comparative study on feature selection in text categorization. In Douglas H. Fisher, editor, Proceedings of the 14th International Conference on Machine Learning, pages 412-420, Nashville, TN, USA, 1997. Morgan Kaufmann Publishers, Inc.