一种基于聚类的PU主动文本分类方法_刘露.pdf

ISSN 1000-9825, CODEN RUXUEW E-mail: jos@ Journal of Software ,2013,24(11):25712583 [doi: 10.3724/SP.J.1001.2013.04467] ©. Tel/Fax: +86-10  PU  1,2 1,2,3 1,3 1 , , , 1( , 130012) 2(Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, USA) 3((), 130012) : , E-mail: tpeng@, taopeng@ : . PU(positive and unlabeled).,,, .. ,, ,. SVM Rocchio , TFIDF(term frequency inverse document frequency), .3 (RCV1,Reuters-21578,20 Newsgoups). , ,. : PU(positive and unlabeled);;TFIPNDF(term frequency inverse positive-negative document frequency); ; ;Rocchio : TP391 : A : ,,,. PU .,2013,24(11):25712583. http:// /1000-9825/4467.htm : Liu L, Peng T, Zuo WL, Dai YK. Clustering-Based PU active text classification method. Ruan Jian Xue Bao/ Journal of Software, 2013,24(11):25712583 (in Chinese). /1000-9825/4467.htm Clustering-Based PU Active Text Classification Method LIU Lu1,2, PENG Tao1,2,3, ZUO Wan-Li1,3, DAI Yao-Kang1 1(College of Computer Science and Technology, Jilin University, Changchun 130012, China) 2(Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, USA) 3(Key Laboratory of Symbol Computation and Knowledge Engineering (Jilin University), Ministry of