Flexible KNN Algorithm for Text Categorization by Authorship Based on Features of Lingual Conceptual Expression
Los Angeles, CA
March 31, 2009 to April 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.363
Text categorization by authorship is useful in some applications and lingual conceptual expression is an effective expression to reduce the dimension of the VSM. In this application, we use KNN algorithm, which is a common, efficient and effective text categorization algorithm. In standard KNN algorithm, the K is fixed for different processing texts， and the weights for neighbors are equal. In this paper, a flexible KNN algorithm is combined with K-variable algorithm and weighting algorithm, which improves the effect of text categorization.
Zhang Yunliang, Zhu Lijun, Qiao Xiaodong, Zhang Quan, "Flexible KNN Algorithm for Text Categorization by Authorship Based on Features of Lingual Conceptual Expression", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 601-605, doi:10.1109/CSIE.2009.363