Chinese Text Classification with a KNN Classifier Using an Adjusted Feature Weighting Method

Abstract:

Article Preview

KNN algorithm is used for Chinese text classification in this paper. First, TF-IDF is chosen as the feature weighting method. To the characteristics of corpus used in this paper, TF-IDF is adjusted to a new method. At last, experimental result shows the accuracy of KNN text classifier can be improved with the adjusted feature weighting method.

Info:

Periodical:

Edited by:

Shaobo Zhong, Yimin Cheng and Xilong Qu

Pages:

700-703

DOI:

10.4028/www.scientific.net/AMM.50-51.700

Citation:

W. R. Lin et al., "Chinese Text Classification with a KNN Classifier Using an Adjusted Feature Weighting Method", Applied Mechanics and Materials, Vols. 50-51, pp. 700-703, 2011

Online since:

February 2011

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Price:

$35.00

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