High performance two-class Chinese text categorization method

Jisuanji Xuebao/Chinese Journal of Computers

Volumn 29, Issue 1, 2006, Pages 124-131

  Fan, Xing Hua ^a,b   Sun, Mao Song ^a  

^a TSINGHUA UNIVERSITY   (China)

^b PATENT EXAMINATION COOPERATION CENTER OF THE PATENT OFFICE   (China)

Author keywords

Chinese information processing; High performance; Text categorization; Text filtering

Indexed keywords

FILTRATION; INFORMATION RETRIEVAL; PERFORMANCE; SELECTION;

BAYES CLASSIFIER; CHINESE INFORMATION PROCESSING; HIGH PERFORMANCE; TEXT CATEGORIZATION; TEXT FILTERING; TOPIC SENSITIVE INFORMATION;

DATA PROCESSING;

EID: 33644945654     PISSN: 02544164     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (11)

1. Sebastiani F.. Machine learning in automated text categorization. ACM Computing Surveys, 2002, 34(1): 1-47
2. Lewis D.. Naive bayes at forty: The independence assumption in information retrieval. In: Proceedings of the 10th European Conference on Machine Learning, Chemnitz, Germany, 1998, 4-15
3. Salton G.. Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer. Reading, MA: Addison-Wesley, 1989
4. Mitchell T. M.. Machine Learning. New York: McCraw Hill, 1996
5. Joachims T.. Text categorization with support vector machines: Learning with many relevant features. In: Proceedings of the 10th European Conference on Machine Learning, Chemnitz, Germany, 1998, 137-142
6. Yang Y., Liu X.. A Re-examination of text categorization methods. In: Proceedings of SIGIR'99, the 22nd ACM International Conference on Research and Development in Information Retrieval, Berkeley, CA, 1999, 42-49
7. Fan Xing-Hua. Causality reasoning and text categorization. Postdoctoral Research Report of Tsinghua University, 2004 (in Chinese)
8. Larkey L. S.. Automatic essay grading using text categorization techniques. In: Proceedings of SIGIR'98, the 21st ACM International Conference on Research and Development in Information Retrieval, Melbourne, Australia, 1998, 90-95
9. Dumais S. T., Platt J., Hecherman D., Sahami M.. Inductive learning algorithms and representation for text categorization. In: Proceedings of CIKM'98, the 7th ACM International Conference on Information and Knowledge Management, Bethesda, MD, 1998, 148-155
10. Sahami M., Dumais S., Hecherman D., Horvitz E.. A Bayesian approach to filtering junk E-mail. AAAI, Madison Wisconsin: AAAI Technical Report WS-98-05, 1998, 55-62
11. Lewis D. D.. An evaluation of phrasal and clustered representations on a text categorization task. In: Proceedings of SIGIR'92, the 15st ACM International Conference on Research and Development in Information Retrieval, Copenhagen, Denmark, 1992, 37-50