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New Technology of Library and Information Service  2010, Vol. 26 Issue (10): 43-48    DOI: 10.11925/infotech.1003-3513.2010.10.07
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Research on Extraction of Hot Keywords
Cheng Xiao, Lu Bei, Chen Zhiqun
Institute of Computer Application Technology, Hangzhou Dianzi University, Hangzhou 310018, China
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According to extraction of hot keywords in the multi-phase candidate keywords, the paper tries mass data process,determines the meaningless words based on the timing of statistical law, and proposes Union Variance (UV) concept. The HK (Hot Keywords) formula is constructed based on multi-feature fusion to achieve the extraction of hot keywords. Experimental results show that this method is efficient in the process of hot subject extraction.

Key wordsOnline      public      opinion      Chinese      word      segmentation      Keywords      Weighting      calculation     
Received: 16 August 2010      Published: 04 January 2011



Cite this article:

Cheng Xiao, Lu Bei, Chen Zhiqun. Research on Extraction of Hot Keywords. New Technology of Library and Information Service, 2010, 26(10): 43-48.

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