A Novel Feature Selection Technique for Text Classification

Author:

Guru D. S.,Ali Mostafa,Suhil Mahamad

Publisher

Springer Singapore

Reference18 articles.

1. Wang, D., Zhang, H., Wu, W., Lin, M.: Inverse-category-frequency based supervised term weighting schemes for text categorization. J. Inf. Sci. Eng. 29, 209–225 (2013)

2. Azam, N., Yao, J.: Comparison of term frequency and document frequency based feature selection metrics in text categorization. Expert Syst. Appl. 39, 4760–4768 (2012)

3. Yang, Y., Pedersen, J.O.: A comparative study on feature selection in text categorization. In: Proceedings of the Fourteenth International Conference on Machine Learning (ICML-97), pp. 412–420 (1997)

4. Guru, D.S., Suhil, M.: A novel Term_Class relevance measure for text categorization. Procedia Comput. Sci. 45, 13–22 (2015)

5. Aggarwal, C.C., Gates, S.C., Yu, P.S.: On using partial supervision for text categorization. IEEE Trans. Knowl. Data Eng. 16(2), 245–255 (2004)

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