a novel kernel for text categorization

ISCAS OpenIR

	a novel kernel for text categorization
	Zhang Lujiang; Hu Xiaohui
	2012
会议名称	2012 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2012
会议录名称	CSAE 2012 - Proceedings, 2012 IEEE International Conference on Computer Science and Automation Engineering
页码	186-190
会议日期	May 25, 2012 - May 27, 2012
会议地点	Zhangjiajie, China
收录类别	EI
ISBN	9781467300865
部门归属	(1) School of Automation Science and Electrical Engineering Beijing University of Aeronautics and Astronautics Beijing 100191 China; (2) Institute of Software Chinese Academy of Sciences Beijing 100190 China
摘要	In this paper we proposed a novel kernel for text categorization. This kernel is an inner product in the feature space generated by all word combinations of specified length. A word combination is a collection of different words co-occurring in the same sentence. The word combination of length k is weighted by the k-th root of the product of the inverse document frequencies (IDF) of its words. A computationally simple and efficient algorithm was proposed to calculate this kernel. We conducted experiments on the 20 Newsgroups dataset. This kernel achieves better performance than the classical word kernel and word-sequence kernel. We also assessed the impact of word combination length on performance. © 2012 IEEE.; In this paper we proposed a novel kernel for text categorization. This kernel is an inner product in the feature space generated by all word combinations of specified length. A word combination is a collection of different words co-occurring in the same sentence. The word combination of length k is weighted by the k-th root of the product of the inverse document frequencies (IDF) of its words. A computationally simple and efficient algorithm was proposed to calculate this kernel. We conducted experiments on the 20 Newsgroups dataset. This kernel achieves better performance than the classical word kernel and word-sequence kernel. We also assessed the impact of word combination length on performance. © 2012 IEEE.
关键词	Algorithms Computer Science Support Vector Machines
主办者	IEEE Beijing Section; Hunan University of Humanities, Science and Technology; Tongji University; Xiamen University; Central South University
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/15762
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Zhang Lujiang,Hu Xiaohui. a novel kernel for text categorization[C],2012:186-190.