A discriminative and semantic feature selection method for text categorization

International Journal of Production Economics

Volumn 165, Issue , 2015, Pages 215-222

  Zong, Wei ^a   Wu, Feng ^a   Chu, Lap Keung ^b   Sculli, Domenic ^b  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Big data; Discriminative power; Feature selection; Semantic similarity; Support vector machine (SVM); Text categorization

Indexed keywords

ABSTRACTING; BIG DATA; CLASSIFICATION (OF INFORMATION); DATA HANDLING; DIGITAL STORAGE; SEMANTICS; SUPPORT VECTOR MACHINES; TEXT PROCESSING;

CORRELATION BETWEEN FEATURES; CRITICAL TASKS; DISCRIMINATIVE POWER; FEATURE SELECTION METHODS; REUTERS-21578; SEMANTIC FEATURES; SEMANTIC SIMILARITY; TEXT CATEGORIZATION;

FEATURE EXTRACTION;

EID: 84929519537     PISSN: 09255273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpe.2014.12.035     Document Type: Article

References (23)

1. M.H. Aghdam, N. Ghasem-Aghaee, and M.E. Basiri Text feature selection using ant colony optimization Expert Syst. Appl. 36 3 2009 6843 6853
2. A. Balakrishnan, R. Kalakota, S.P. Ow, and A.B. Whinston Document-centered information systems to support reactive problem-solving in manufacturing Int. J. Prod. Econ. 38 1 1995 31 58
3. C. Carpineto, and G. Romano A survey of automatic query expansion in information retrieval ACM Comput. Surv. 44 1 2012 1 50
4. S. Deng, and T.-H. Yeh Using least squares support vector machines for the airframe structures manufacturing cost estimation Int. J. Prod. Econ. 131 2 2011 701 708
5. O. Egozi, S. Markovitch, and E. Gabrilovich Concept-based information retrieval using explicit semantic analysis ACM Trans. Inf. Syst. 29 2 2011 8
6. T. Joachims Text categorization with support vector machines: Learning with many relevant features Proceedings of the 10th European Conference on Machine Learning 1998 137 142
7. T. Joachims Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms 2002 Kluwer Academic Publishers
8. K.S. Jones A statistical interpretation of term specificity and its application in retrieval J. Document. 60 5 2004 493 502
9. A. Khan, B. Baharudin, H.L. Lee, and K. Khan A review of machine learning algorithms for text-documents classification J. Adv. Inf. Technol. 1 1 2010 4 20
10. M. Lan, C.L. Tan, J. Su, and Y. Lu Supervised and traditional term weighting methods for automatic text categorization IEEE Trans. Pattern Anal. Mach. Intell. 31 4 2009 721 735
11. Lang, K., 1995. Newsweeder: learning to filter netnews. In: Proceedings of the 12th International Conference on Machine Learning, 331-339. Citeseer
12. E. Leopold, and J. Kindermann Text categorization with support vector machines. how to represent texts in input space Mach. Learn. 46 1/3 2002 423 444
13. Lewis, D.D., 1997. Reuters-21578 Text Categorization Collection.
14. McCallum, A., Nigam, K., 1998. A Comparison of Event Models for Naive Bayes Text Classification. In AAAI-98 Workshop on Learning for Text Categorization.
15. M.F. Porter An algorithm for suffix stripping Prog. Electron. Library Inf. Syst. 14 3 1980 130 137
16. M.E. Ruiz, and P. Srinivasan Hierarchical text categorization using neural networks Inf. Retrieval 5 1 2002 87 118
17. F. Sebastiani Machine learning in automated text categorization ACM Comput. Surv. 34 1 2002 1 47
18. J.M. Sotoca, and F. Pla Supervised feature selection by clustering using conditional mutual information-based distances Pattern Recogn. 43 2010 2068 2081
19. Tam, V., Santoso, A., Setiono, R., 2002. A comparative study of centroid-based, neighborhood-based and statistical approaches for effective document categorization. In: Proceedings of the 16th International Conference on Pattern Recognition 4, 235-238.
20. V.N. Vapnik The Nature of Statistical Learning Theory 1995 Springer Verlag Heidelberg, DE
21. P. Wang, J. Hu, H.-J. Zeng, and Z. Chen Using Wikipedia knowledge to improve text classification Knowl. Inf. Syst. 19 3 2009 265 281
22. Y. Yang An evaluation of statistical approaches to text categorization Inf. Retrieval 1 1/2 1999 69 90
23. Yang, Y., Pedersen, J.O., 1997. A comparative study on feature selection in text categorization. In: Proceedings of the 14th International Conference on Machine Learning 97, 412-420.