Paper Title:
Chinese Text Classification with a KNN Classifier Using an Adjusted Feature Weighting Method
  Abstract

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, Z. H. Wu, L. C. Feng, W. B. Huang, "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
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Huan Hai Yang
Abstract:In recent years, there have been extensive studies and rapid progresses in automatic text classification, which is one of the hotspots and...
1006
Authors: Xiao Yun Chen, Jin Hua Chen
Abstract:There is a problem that the difficulty in text classification will increase when the number of classes increases, to which hierarchical...
2233
Authors: Rui Xue Duan, Xiao Jie Wang, Wen Feng Li
Abstract:As the volume of online short text documents grow tremendously on the Internet, it is much more urgent to solve the task of organizing the...
697
Authors: Jun Yun Wu
Chapter 3: Information Technology for Materials
Abstract:First this paper makes a brief introduction about DF, expected cross entropy, MI, IG, and statistic. Then combining with KNN classification...
383