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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.
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Received: 03 November 2012
Published: 12 March 2013
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