Journal on Communications ›› 2013, Vol. 34 ›› Issue (Z2): 74-78.doi: 10.3969/j.issn.1000-436x.2013.Z2.015

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Novel topic detection method for microblog based on SVM filtration

Jun-xia CHENG1,Zhi-tang LI1,2,Ming-guang ZOU1,Jin XIAO1   

  1. 1 School of Computer Science and Technology,Huazhong University of Science and Technology,Wuhan 430074,China
    2 National Engineering Laboratory for Next Gerneration Internet Access System,Wuhan 430074,China
  • Online:2013-12-25 Published:2017-06-16

Abstract:

A detection method based on SVM filtration was proposed.The method uses text feature as imported vectors to filtrate microblog news,reducing the amount of calculation greatly.A single-pass clustering algorithm based on the improvement of high-frequency words sorting was proposed,which can detect isolated points commendably.Experimental results show that the method can detect news topics from massive microblog data efficiently.

Key words: topic detecting, characteristic vector, SVM

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