The Importance of Stop Word Removal on Recall Values in Text Categorization

Proceedings of the International Joint Conference on Neural Networks

Volumn 3, Issue , 2003, Pages 1661-1666

  Silva, Catarina ^a   Ribeiro, Bernardete ^a  

^a UNIVERSITY OF COIMBRA   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA MINING; DATA REDUCTION;

SUPPORT VECTOR MACHINES;

TEXT PROCESSING;

EID: 0141571515     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. S. Dumais, J. Platt, D. Heckerman, "Inductive Learning Algorithms and Representations for Text Categorization", in Proceedings of the ACM-CIKM98, pp. 148-155, 1998.
2. R. Cooley, "Classification of News Stories Using Support Vector Machines", in Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence Text Mining Workshop, 1999.
3. V. Vapnik, "The Nature of Statistical Learning Theory", 2nd edition, Springer, 1995.
4. H. Drucker, C. Burges, L. Kaufman, A. Smola, V. Vapnik, "Support Vector Regression Machines", in Neural Information Processing Systems, Cambridge, MIT Press, 1997, Vol. 9.
5. T. Joachims, "Learning to Classify Text Using Support Vector Machines Methods, Theory and Algorithms", in The Kluwer International Series in Engineering and Computer Science, Kluwer Academic Publishers, 2001.
6. P. Sebastiani, "A Tutorial on Automated Text Categorization", in Analia Amandi and Alejandro Zunino (eds.), Proceedings of ASAI-99, 1st Argentinian Symposium on Artificial Intelligence, Buenos Aires, AR, pp. 7-35, 1999.
7. J. Kwok, "Automated Text Categorization Using Support Vector Machine", in Proceedings of the International Conference on Neural Information Processing (ICONIP'98), pp. 347-351, Kitakyushu, Japan, 1998.
8. B. Schölkopf, C. Burges, A. Smola, "Advances in Kernel Methods Introduction to Support Vector Learning", MIT Press, pp. 1-15, 1999.
9. T. Joachims, "Text Categorization with Support Vector Machines: Learning with Many Relevant Features", in Proceedings of the European Conference on Machine Learning (ECML), Springer, pp. 137-142, Berlin, 1998.
10. S. Gunn, "Support Vector Machines for Classification and Regression", Technical Report, Faculty of Engineering and Applied Science, Department of Electronics and Computer Science, 1998.