Semantic scoring based on small-world phenomenon for feature selection in text mining

	Semantic scoring based on small-world phenomenon for feature selection in text mining
	Huang, Chong ; Tian, Yonghong ; Huang, Tiejun ; Gao, Wen
	2006
发表期刊	ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS
ISSN	0302-9743
卷号	4093 页码:636-643
摘要	This paper proposes an effective scoring scheme for feature selection in Text Mining, using characteristics of Small-World Phenomenon on the semantic networks of documents. Our focus is on the reservation of both syntactic and statistical information of words, rather than solely simple frequency summarization in prevailing scoring schemes, such as TFIDF. Experimental results on TREC dataset show that our scoring scheme outperforms the prevailing schemes.
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Information Systems
WOS记录号	WOS:000240088200070
出版者	SPRINGER-VERLAG BERLIN
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/10424
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Huang, Chong
作者单位	1.Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China 2.Chinese Acad Sci, Comp Technol Inst, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Huang, Chong,Tian, Yonghong,Huang, Tiejun,et al. Semantic scoring based on small-world phenomenon for feature selection in text mining[J]. ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS,2006,4093:636-643.
APA	Huang, Chong,Tian, Yonghong,Huang, Tiejun,&Gao, Wen.(2006).Semantic scoring based on small-world phenomenon for feature selection in text mining.ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS,4093,636-643.
MLA	Huang, Chong,et al."Semantic scoring based on small-world phenomenon for feature selection in text mining".ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS 4093(2006):636-643.