Computing symmetrical strength of N-grams: a two pass filtering approach in automatic classification of text documents

Author:

Agnihotri DeepakORCID,Verma Kesari,Tripathi Priyanka

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference19 articles.

1. Duoqian ZW, Jean-Hugues M, Rui C, Li ZW (2009) N-grams based feature selection and text representation for Chinese text classification. Int J Comput Intell Syst 2(4):365–374

2. Forman G (2003) An extensive empirical study of feature selection metrics for text classification. J Mach Learn Res 3:1289–1305

3. Greene D, Cunningham P (2006) Practical solutions to the problem of diagonal dominance in kernel document clustering. In: Proceedings of the ICML 2006

4. Guo H, Zhou LZ, Feng L (2009) Self-switching classification framework for titled documents. J Comput Sci Technol 24(4):615–625

5. Joachims T (1996) A probabilistic analysis of the rocchio algorithm with tfidf for text classification. Technical Report CMU-CS-96-118, Department of Computer Science, Carnegie Mellon University

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