Novel top-down methods for Hierarchical Text Classification-Reference-Cited by-同舟云学术

Novel top-down methods for Hierarchical Text Classification

Published:2011 Issue: Volume:24 Page:329-334
ISSN:1877-7058
Container-title:Procedia Engineering
language:en
Short-container-title:Procedia Engineering

Author:

Ying Cao,run-ying Duan

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference6 articles.

1. Machine learning in automated text categorization;Sebastiani;ACM computing surveys,2002

2. Juho Rousu, Craig Saunders, Sandor Szedmak, and John Shawe-Taylor. 2006. Kernel-based learning of hierarchical multilabel classification models. In Journal of Machine Learning Research.

3. L. Cai and T. Hofmann. 2007. Exploiting known taxonomies in learning overlapping concepts. In Proceedings of International Joint Conferences on Artificial Intelligence.

4. Youdong Miao and Xipeng Qiu. 2009. Hierarchical centroid-based classifier for large scale text classification. In Large Scale Hierarchical Text classification (LSHTC) Pascal Challenge.

5. Xipeng Qiu, Jinlong Zhou, and Xuanjing Huang. 2011.An effective feature selection method for text categorization.In Proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining.

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