Pairwise optimized Rocchio algorithm for text categorization

Pattern Recognition Letters

Volumn 32, Issue 2, 2011, Pages 375-382

  Miao, Yun Qian ^a   Kamel, Mohamed ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

Parameter optimization; Rocchio algorithm; Text categorization

Indexed keywords

COMPARATIVE STUDIES; DISCRIMINATING POWER; GLOBAL PARAMETERS; PARAMETER OPTIMIZATION; PARAMETER OPTIMIZATION METHODS; PERFORMANCE IMPROVEMENTS; REUTERS-21578; ROCCHIO; ROCCHIO ALGORITHM; TEXT CATEGORIZATION; TEXT CLASSIFIERS; WEAK REPRESENTATIONS;

ALGORITHMS; OPTIMIZATION; TEXT PROCESSING;

PARAMETER ESTIMATION;

EID: 78649318078     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2010.09.018     Document Type: Article

References (20)

1. Asuncion, A; Newman, D; last accessed: August 2009. UCI Repository at http://www.ics.uci.edu/∼mlearn/MLRepository.html. School of Information and Computer Science, University of California, Irvine, CA.
2. Y. Bi, D. Bell, H. Wang, G. Guo, and J. Guan Combining multiple classifiers using dempster's rule for text categorization Appl. Artif. Intell. 21 3 2007 211 239
3. C. Buckley, J. Allan, and G. Salton Automatic routing and retrieval using smart: Trec-2 Inform. Process. Manage. 31 3 1995 315 326
4. C. Buckley, G. Salton, and J. Allan The effect of adding relevance information in a relevance feedback environment SIGIR'94: Proc. 17th Annual Internat. ACM SIGIR Conf. on Research and Development in Information Retrieval 1994 Springer-Verlag New York, Inc. New York, NY, USA 292 300
5. Chang, C.-C; Lin, C.-J; 2001. LIBSVM: a library for support vector machines. Software available at http://www.csie.ntu.edu.tw/cjlin/libsvm.
6. W.W. Cohen, and Y. Singer Context-sensitive learning methods for text categorization ACM Trans. Inform. Systems 17 2 1999 141 173
7. S. Dumais, J. Platt, D. Heckerman, and M. Sahami Inductive learning algorithms and representations for text categorization CIKM'98: Proc. Seventh Internat. Conf. on Information and Knowledge Management 1998 ACM New York, NY, USA 148 155
8. Guo, G; Wang, H; Bell, D; Bi, Y; Greer, K; 2003. Using knn model-based approach for automatic text. In: Proc. ODBASE'03, the 2nd Internat. Conf. on Ontologies, Database and Applications of Semantics. LNCS. pp. 986-996.
9. Ittner, D.J; Lewis, D.D; Ahn, D.D; 1995. Text categorization of low quality images. In: Proc. SDAIR-95, 4th Annual Symposium on Document Analysis and Information Retrieval, pp. 301-315.
10. Joachims, T; 1997. A probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization. In: Proc. ICML1997: the Fourteenth Internat. Conf. on Machine Learning, pp. 143-151.
11. T. Joachims Text categorization with support vector machines: learning with many relevant features Proc. ECML-98, 10th European Conf. on Machine Learning 1998 SpringerVerlag 137 142
12. Moschitti, A; 2003. A study on optimal parameter tuning for Rocchio text classifier. In: Proc. ECIR2003: the 25th European Conf. on IR Research. LNCS2633, pp. 420-435.
13. J. Rocchio Relevance feedback in information retrieval G. Salton, The Smart Retrieval System-Experiments in Automatic Document Processing 1971 Prentice Hall 313 323
14. G. Salton Automatic text processing: the transformation, analysis, and retrieval of information by computer 1989 Addison-Wesley Longman Publishing Co; Inc. Boston, MA, USA
15. Schapire, R.E; Singer, Y; Singhal, A; 1998. Boosting and Rocchio applied to text filtering. In: Proc. SIGIR 1998: the 21st Annual Internat. ACM SIGIR Conf. on Research and Development in Information Retrieval, pp. 215-223.
16. F. Sebastiani Machine learning in automated text categorization ACM Comput. Surv. 34 1 2002 1 47
17. S. Shehata, F. Karray, and M. Kamel Enhancing text categorization using sentence semantics ADMA'08: Proc. 4th Internat. Conf. on Advanced Data Mining and Applications 2008 Springer-Verlag Berlin, Heidelberg 87 98
18. A. Vinciarelli Application of information retrieval techniques to single writer documents Pattern Recognition Lett. 26 14 2005 2262 2271
19. Y. Yang, and X. Liu A re-examination of text categorization methods SIGIR'99: Proc. 22nd Annual Internat. ACM SIGIR Conf. on Research and Development in Information Retrieval 1999 ACM New York, NY, USA 42 49
20. Y. Yang, and J.O. Pedersen A comparative study on feature selection in text categorization ICML'97: Proc. Fourteenth Internat. Conf. on Machine Learning 1997 Morgan Kaufmann Publishers Inc. San Francisco, CA, USA 412 420