-
1
-
-
0036161242
-
Text categorization with support vector machines, how to represent texts in input space?
-
January - February - March
-
E. Leopold and J. Kindermann. Text categorization with support vector machines, how to represent texts in input space?. Machine Learning, 46(1-3):423 - 444, January - February - March 2002.
-
(2002)
Machine Learning
, vol.46
, Issue.1-3
, pp. 423-444
-
-
Leopold, E.1
Kindermann, J.2
-
6
-
-
33745958735
-
-
March
-
Z.-H. Deng, S.-W. Tang, D.-Q. Yang, M. Zhang, L.-Y. Li, and K. Q. Xie. A comparative study on feature weight in text categorization, March 2004.
-
(2004)
A Comparative Study on Feature Weight in Text Categorization
-
-
Deng, Z.-H.1
Tang, S.-W.2
Yang, D.-Q.3
Zhang, M.4
Li, L.-Y.5
Xie, K.Q.6
-
7
-
-
0000259511
-
Approximate statistical tests for comparing supervised classification learning algorithms
-
T. G. Dietterich. Approximate statistical tests for comparing supervised classification learning algorithms. Neural Comput., 10(7): 1895-1923, 1998.
-
(1998)
Neural Comput.
, vol.10
, Issue.7
, pp. 1895-1923
-
-
Dietterich, T.G.1
-
8
-
-
85105809948
-
Inductive learning algorithms and representations for text categorization
-
ACM Press
-
|8] S. Dumais, J. Platt, D. Heckerman, and M. Sahami. Inductive learning algorithms and representations for text categorization. In Proceedings of the seventh international conference on Information and knowledge management, pages 148-155. ACM Press, 1998.
-
(1998)
Proceedings of the Seventh International Conference on Information and Knowledge Management
, pp. 148-155
-
-
Dumais, S.1
Platt, J.2
Heckerman, D.3
Sahami, M.4
-
9
-
-
84957069814
-
Text categorization with support vector machines: Learning with many relevant features
-
C. Nédellec and C. Rouveirol. editors. Chemnitz, DE. Springer Verlag, Heidelberg, DE
-
T. Joachims. Text categorization with support vector machines: learning with many relevant features. In C. Nédellec and C. Rouveirol. editors, Proceedings of ECML-98, 10th European Conference on Machine Learning, number 1398, pages 137-142. Chemnitz, DE, 1998. Springer Verlag, Heidelberg, DE.
-
(1998)
Proceedings of ECML-98, 10th European Conference on Machine Learning
, Issue.1398
, pp. 137-142
-
-
Joachims, T.1
-
10
-
-
0142086575
-
A comparison of word- and sense-based text categorization using several classification algorithms
-
November
-
A. Kehagias, V. Petridis, V. Kaburlasos, and P. Fragkou. A comparison of word- and sense-based text categorization using several classification algorithms. Journal of Intelligent Information Systems, 21(3):227-247, November 2003.
-
(2003)
Journal of Intelligent Information Systems
, vol.21
, Issue.3
, pp. 227-247
-
-
Kehagias, A.1
Petridis, V.2
Kaburlasos, V.3
Fragkou, P.4
-
11
-
-
0027012244
-
An evaluation of phrasal and clustered representations on a text categorization task
-
N. J. Belkin, P. Ingwersen, and A. M. Pejtersen. editors. ACM
-
D.D. Lewis. An evaluation of phrasal and clustered representations on a text categorization task. In N. J. Belkin, P. Ingwersen, and A. M. Pejtersen. editors. Proceedings of the 15th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Copenhagen, Denmark, June 21-24, 1992, paaes 37-50. ACM, 1992.
-
(1992)
Proceedings of the 15th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Copenhagen, Denmark, June 21-24, 1992
, pp. 37-50
-
-
Lewis, D.D.1
-
12
-
-
84876811202
-
Revl: A new benchmark collection for text categorization research
-
D. D. Lewis, Y. Yang, T. G. Rose, and F. Li. Revl: A new benchmark collection for text categorization research. J. Mach. Learn. Res., 5:361-397, 2004.
-
(2004)
J. Mach. Learn. Res.
, vol.5
, pp. 361-397
-
-
Lewis, D.D.1
Yang, Y.2
Rose, T.G.3
Li, F.4
-
13
-
-
8644274789
-
Feature selection using linear classifier weights: Interaction with classification models
-
ACM Press
-
D. Mladenic, J. Brank, M. Grobelnik, and N. Milic-Frayling. Feature selection using linear classifier weights: interaction with classification models. In Proceedings of the 27th annual international conference on Research and development in information retrieval, pages 234-241. ACM Press, 2004.
-
(2004)
Proceedings of the 27th Annual International Conference on Research and Development in Information Retrieval
, pp. 234-241
-
-
Mladenic, D.1
Brank, J.2
Grobelnik, M.3
Milic-Frayling, N.4
-
14
-
-
84948481845
-
An algorithm for suffix stripping
-
M. Porter. An algorithm for suffix stripping. Program, pages 130-137, 1980.
-
(1980)
Program
, pp. 130-137
-
-
Porter, M.1
-
15
-
-
45549117987
-
Term-weighting approaches in automatic text retrieval
-
G. Salton and C. Buckley. Term-weighting approaches in automatic text retrieval. Inf. Process. Manage.. 24(5):513-523. 1988.
-
(1988)
Inf. Process. Manage..
, vol.24
, Issue.5
, pp. 513-523
-
-
Salton, G.1
Buckley, C.2
-
16
-
-
0002442796
-
Machine learning in automated text categorization
-
F. Sebastiani. Machine learning in automated text categorization. ACM Comput. Surv:, 34(1): 1-47, 2002.
-
(2002)
ACM Comput. Surv
, vol.34
, Issue.1
, pp. 1-47
-
-
Sebastiani, F.1
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