Computer Science ›› 2007, Vol. 34 ›› Issue (5): 202-204.

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LI Sheng-Yu, HE Wen (1.Chongqing Technology and Business University, Chongqing 400067;2.College of Computer, Chongqing University,Chongqng 400044)   

  • Online:2018-11-16 Published:2018-11-16

Abstract: Because online chat text is loosely and briefly organized and is context dependent, there are some defects to select features by using traditional TFIDF (Term Frequency Inverse Document Frequency). Aiming at solving the problem, this paper presents a meth

Key words: Text mining, Chat text, TFIDF

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