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New Technology of Library and Information Service  2012, Vol. Issue (12): 39-44    DOI: 10.11925/infotech.1003-3513.2012.12.08
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An Application of Sharpen Gaussian Template in a Text Feature Weight Adjustment Methodology
Lu Yonghe, He Xinyu
School of Information Management, Sun Yat-Sen University, Guangzhou 510006, China
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Abstract  This paper introduces Gaussian Template and Sharpen Gaussian Template in computer image processing technology and summarizes main ideas of text feature weight adjustment,then proposes a text feature weight adjustment methodology based on Sharpen Gaussian Template. With corpus of Sogou Lab Data, KNN classifier and Class-center classifier, this methodology is experimented by Macro-averaging F-measures. The experimental result shows that the KNN classifier with this methodology performs better than the traditional method. However,Class-center classifier with this methodology has no significant improvement.
Key wordsText categorization      Sharpen Gaussian template      Vector space model      Text feature     
Received: 03 November 2012      Published: 12 March 2013
:  TP391  

Cite this article:

Lu Yonghe, He Xinyu. An Application of Sharpen Gaussian Template in a Text Feature Weight Adjustment Methodology. New Technology of Library and Information Service, 2012, (12): 39-44.

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