-
1
-
-
0003862399
-
Term weighting approaches in automatic text retrieval
-
Department of Computer Science, Cornell University
-
Salton, G., and Buckley, C. (1987). Term weighting approaches in automatic text retrieval. Tech Report 87-881, Department of Computer Science, Cornell University.
-
(1987)
Tech Report
, vol.87
, Issue.881
-
-
Salton, G.1
Buckley, C.2
-
3
-
-
21844472475
-
-
Youngjoong Ko Department of Computer Science, Sogang University 1 Sinsu-dong, Mapo-gu Seoul, Korea
-
Ko, Y., and Seo, J. (2000). Automatic Text Categorization by Unsupervised Learning. Youngjoong Ko Department of Computer Science, Sogang University 1 Sinsu-dong, Mapo-gu Seoul, 121-742, Korea.
-
(2000)
Automatic Text Categorization by Unsupervised Learning
, pp. 121-742
-
-
Ko, Y.1
Seo, J.2
-
4
-
-
0003141935
-
A comparative study on feature set selection in text categorization
-
Nashville, TN. Morgan Kaufmann
-
Yang, Y., and Pedersen, J. (1997). A comparative study on feature set selection in text categorization. In Proc. of the 14th International Conference on Machine Learning, pages 412-420, Nashville, TN. Morgan Kaufmann.
-
(1997)
Proc. of the 14th International Conference on Machine Learning
, pp. 412-420
-
-
Yang, Y.1
Pedersen, J.2
-
6
-
-
15544382511
-
Automatic text categorization on hierarchical category structure by using ICF (Inverted category frequency) weighting
-
Cho K. and Kim j. (1997). Automatic Text Categorization on Hierarchical Category Structure by using ICF (Inverted Category Frequency) Weighting. In Proceedings of KISS conference, pp.507-510
-
(1997)
Proceedings of KISS Conference
, pp. 507-510
-
-
Cho, K.1
Kim, J.2
-
7
-
-
2942731012
-
An extensive empirical of feature selection metrics for text categorization
-
2003
-
Forman, G. (2003) An Extensive Empirical of Feature Selection Metrics for Text Categorization. Journal of Machine Learning Research 3 (2003) 1289-1305.
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 1289-1305
-
-
Forman, G.1
-
8
-
-
84862802358
-
Optimally combining positive and negative features for text categorization
-
Zheng, Z., Srihari, R,. (2003). Optimally Combining Positive and Negative Features for Text Categorization. ICML 2003 Workshop.
-
(2003)
ICML 2003 Workshop
-
-
Zheng, Z.1
Srihari, R.2
-
9
-
-
0002621269
-
A tutorial on automated text categorization
-
Analia Amandi and Ricardo Zunino, editors, 1st Argentinian Symposium on Artificial Intelligence, Buenos Aires, AR
-
Sebastiani, F. (1999). A Tutorial on Automated Text Categorization. In Analia Amandi and Ricardo Zunino, editors, Proceedings of ASAI-99, 1st Argentinian Symposium on Artificial Intelligence, pages 7-35, Buenos Aires, AR.
-
(1999)
Proceedings of ASAI-99
, pp. 7-35
-
-
Sebastiani, F.1
-
11
-
-
0030651099
-
Feature selection, perceptron learning, and a usability case study for text categorization
-
T. Ng, W.B. Goh, and K.L. Low. Feature selection, perceptron learning, and a usability case study for text categorization. In 20th Ann Int ACM SIGIR Conferenceon Research and Development in Information Retrieval (SIGIR '97), pages 67-73, 1997.
-
(1997)
20th Ann Int ACM SIGIR Conferenceon Research and Development in Information Retrieval (SIGIR '97)
, pp. 67-73
-
-
Ng, T.1
Goh, W.B.2
Low, K.L.3
-
12
-
-
84937392228
-
Feature selection and negative evidence in automated text categorization
-
Galavotti, L., Sebastiani, F., and Simi, M. (1999). Feature Selection and Negative Evidence in Automated Text Categorization. ECDL 2000: 59-68
-
(1999)
ECDL 2000
, pp. 59-68
-
-
Galavotti, L.1
Sebastiani, F.2
Simi, M.3
|