The Research of Semantic Kernel in SVM for Chinese Text Classification-Reference-Cited by-同舟云学术

The Research of Semantic Kernel in SVM for Chinese Text Classification

Published:2017 Issue: Volume: Page:
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Container-title:Proceedings of the 2nd International Conference on Intelligent Information Processing - IIP'17
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Author:

Fanjin Mai¹,Ling Huang¹,Jing Tan²,Xinzheng Wang²

Affiliation:

1. Guilin University of Technology, GuiLin, GuangXi Prov., China

2. Guilin University of Technolog, GuiLin, GuangXi Prov., China

Publisher

ACM Press

Reference12 articles.

1. Ding Shifei, Qi Bingjuan, Tan Hongyan. 2011. Review of support vector machine theory and algorithm. Journal of University of Electronic Science and Technology of China. 40, 1(2011), 2--10.

2. Zhang Yufeng, Wang Zhifang. 2010. Semantic kernel function in text categorization. Information Science. 28, 7(2010), 940--970.

3. Fu Lingling. Combination of ontology HowNet Chinese text classification. Chongqing University.

4. Liu Peilin, Wu Yajuan. 2006. Chinese text classification based on vector space model. Daqing Petroleum Institute. (2006).

5. Siolas G, d'Alch, Buc F. 2000. Support Vector Machines Based on a Semantic Kernel for Text Categorization. IEEE-Inns-Enns International Joint Conference on Neural Networks. 5(2000), 205--209.

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