哈尔滨工业大学学报（英文版）2005，Vol.12Issue(6)：690-695,6.
Design and implementation of a large-scale multi-class text classifier
Design and implementation of a large-scale multi-class text classifier
摘要
Abstract
Although, researchers in the ATC field have done a wide range of work based on SVM, almost all existing approaches utilize an empirical model of selection algorithms. Their attempts to model automatic selection in practical, large-scale, text classification systems have been limited. In this paper, we propose a new model selection algorithm that utilizes the DDAG learning architecture. This architecture derives a new large-scale text classifier with very good performance. Experimental results show that the proposed algorithm has good efficiency and the necessary generalization capability while handling large-scale multi-class text classification tasks.关键词
model selection/DAGSVM/automatic text classificationKey words
model selection/DAGSVM/automatic text classification分类
信息技术与安全科学引用本文复制引用
YU Shui,ZHANG Liang,MA Fan-yuan..Design and implementation of a large-scale multi-class text classifier[J].哈尔滨工业大学学报（英文版）,2005,12(6):690-695,6.基金项目
Sponsored by the Science and Technology Committee of Shanghai Municipality Key Project( Grant No. 02DJ14045 ) and the Major International Cooperation Program of NSFC ( Grant No. 60221120145 ). （ Grant No. 02DJ14045 ）
