Using cotraining and semantic feature extraction for positive and unlabeled text classification

Proceedings - 2008 International Seminar on Future Information Technology and Management Engineering, FITME 2008

Volumn , Issue , 2008, Pages 218-221

  Na, Luo ^a,b   Fuyu, Yuan ^c   Wanli, Zuo ^a  

^a JILIN UNIVERSITY   (China)

^b NORTHEAST NORMAL UNIVERSITY   (China)

^c CHANGCHUN INSTITUTE OF APPLIED CHEMISTRY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; INFORMATION RETRIEVAL SYSTEMS; INFORMATION THEORY; TEXT PROCESSING;

CO TRAININGS; DATA SETS; ONE-CLASS SVM; POSITIVE DATUM; TEXT CLASSIFICATIONS;

FEATURE EXTRACTION;

EID: 62949178636     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FITME.2008.81     Document Type: Conference Paper

References (6)

1. Y. Yang (1999). "An evaluation of statistical approaches to text categorization". Journal of Information Retrieval, Vol. 1, No 1/2, pp.67-88.
2. Liu B, Dai Y, Li X, Lee WS, Yu PS (2003). "Building text classifiers using positive and unlabeled examples". In: Proc. of the 3rd IEEE Int'l Conf. on Data Mining. Melbourne. IEEE Computer Society, pp.179-188.
3. Yu H, Han J, Chang K C (2002). "PEBL: Positive example based learning for Web page classification using SVM". In: Proc. of the international conference on Knowledge Discovery and Data mining. pp.239-248.
4. T. Joachims. Making large-Scale SVM Learning Practical. Advances in Kernel Methods-Support Vector Learning MIT-Press, 1999.
5. K. Nigam, A. McCallum, S. Thrun, T. Mitchell (2000). "Text Classification from Labeled and Unlabeled Documents using EM". Machine Learning. Vol.39, pp.103-134.
6. Chua S, Kulathuramaiyer N (2004). "Semantic feature selection using WordNet". In: Proc. of the 14th Int'l Conf. on Web Intelligence. Beijing: IEEE Computer Society. pp.166-172.