Classification of skewed and homogenous document corpora with class-based and corpus-based keywords

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

Volumn 4314 LNAI, Issue , 2007, Pages 91-101

  Özgür, Arzucan ^a   Güngör, Tunga ^a  

^a BOGAZICI UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

BOOLEAN ALGEBRA; DATABASE SYSTEMS; SUPPORT VECTOR MACHINES; WORD PROCESSING;

CORPUS BASED KEYWORDS; KEYWORD SELECTION; MACRO-AVERAGED F MEASURE; SKEWED AND HOMOGENOUS DOCUMENT CORPORA;

INFORMATION RETRIEVAL SYSTEMS;

EID: 35448955617     PISSN: 03029743     EISSN: 16113349     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-69912-5_8     Document Type: Conference Paper

References (20)

1. Yang, Y., Liu, X.: A Re-examination of Text Categorization Methods. In Proceedings of SIGIR-99, 22nd ACM International Conference on Research and Development in Information Retrieval. Berkeley (1996)
2. Joachims, T.: Text Categorization with Support Vector Machines: Learning with Many Relevant Features. In: European Conference on Machine Learning (ECML) (1998)
3. Forman, G.: An Extensive Empirical Study of Feature Selection Metrics for Text Classification. Journal of Machine Learning Research 3 (2003) 1289-1305
4. Burges, C.J.C.: A Tutorial on Support Vector Machines for Pattern Recognition. Data Mining and Knowledge Discovery 2(2) (1998) 121-0167
5. Özgür, A.: Supervised and Unsupervised Machine Learning Techniques for Text Document Categorization. MS Thesis, Bo aziçi University, Istanbul (2004)
6. Joachims, T.: Advances in Kernel Methods-Support Vector Learning. Chapter Making Large-Scale SVM Learning Practical. MIT (1999)
7. Yang, Y., Pedersen, J.O.: A Comparative Study on Feature Selection in Text Categorization. In: Proceedings of the 14th International Conference on Machine Learning (1997) 412-420
8. Mladenic, D., Grobelnic, M.: Feature Selection for Unbalanced Class Distribution and Naive Bayes. In: Proceedings of the 16th International Conference on Machine Learning (1999) 258-267
9. Debole, F., Sebastiani, F.: Supervised Term Weighting for Automated Text Categorization. In: Proceedings of SAC-03, 18th ACM Symposium on Applied Computing. ACM Press (2003) 784-788
10. Aizawa, A.: Linguistic Techniques to Improve the Performance of Automatic Text Categorization. In: Proceedings of 6th Natural Language Processing Pacific Rim Symposium. Tokyo (2001) 307-314
11. Özgür, A., Özgür, L., Güngör T.:Text Categorization with Class-Based and Corpus-Based Keyword Selection. In: Proceedings of ISCIS'05. Lecture Notes in Computer Science 3733. Springer Verlag (2005) 607-616
12. ftp://ftp.cs.cornell.edu/pub/smart/ (2004)
13. Porter, M. F.: An Algorithm for Suffix Stripping. Program 14 (1980) 130-137
14. Salton, G., Buckley, C.: Term Weighting Approaches in Automatic Text Retrieval. Information Processing and Management 24(5) (1988) 513-523
15. Karypis G.: Cluto 2.0 Clustering Toolkit. http://www.users.cs.umn.edu/ ~karypis/cluto (2004)
16. TREC. Text Retrieval Conference. http://trec.nist.gov (1999)
17. Lewis, D.D.: Reuters-21578 Document Corpus V1.0. http://kdd.ics.uci.edu/ databases/reuters21578/reuters21578.html
18. Han, E-H.S., Boley, D., Gini, M., Gross, R., Hastings, K., Karypis, G., Kumar, V., Mobasher, B., Moore, J.: WebAce: A Web Agent for Document Categorization and Exploration. In: Proceedings of the 2nd International Conference on Autonomous Agents (1998)
19. Özgür, L., Güngör, T., Gürgen, F.: Adaptive Anti-Spam Filtering for Agglutinative Languages. A Special Case for Turkish. Pattern Recognition Letters 25(16) (2004) 1819-1831
20. Sebastiani, F.: Machine Learning in Automated Text Categorization. ACM Computing Surveys 34(5) (2002) 1-47