PU text classification enhanced by term frequency-inverse document frequency-improved weighting

Author:

Peng Tao12,Liu Lu12,Zuo Wanli1

Affiliation:

1. College of Computer Science and Technology; Jilin University; Changchun 130012 China

2. Department of Computer Science; University of Illinois at Urbana-Champaign; Urbana IL 61801 USA

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference23 articles.

1. Lewis DD Gale WA A sequential algorithm for training text classifiers 1994

2. Craven M DiPasquo D Freitag D McCallum A Mitchell T Nigam K Slattery S Learning to extract symbolic knowledge from the World Wide Web 1998

3. Discovering and analyzing World Wide Web collections;Mukherjea;Knowledge and Information Systems,2004

4. Online active multi-field learning for efficient email spam filtering;Liu;Knowledge and Information Systems,2012

5. Utilizing multi-field text features for efficient email spam filtering;Liu;International Journal of Computational Intelligence Systems,2012

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