论文信息 - KNN text categorization algorithm based on LSA reduce dimensionality

KNN text categorization algorithm based on LSA reduce dimensionality

Aimed at the problem of document automatic classification, an improved KNN algorithm is proposed based on LSA reduced dimensionality. It advances the KNN algorithm's efficiency and classifier's precision by using LSA to reduce dimensionality of text feature matrix. The experiment result shows that the improved KNN algorithm has good performance.

Ming Yang | Hongliang Zhang | Yuanyuan Che | Tienan Li | Liangjun Li

[1] Gerard Salton,et al. Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer , 1989 .

[2] Peter W. Foltz,et al. An introduction to latent semantic analysis , 1998 .

[3] Yiming Yang,et al. A re-examination of text categorization methods , 1999, SIGIR '99.

[4] Patrick F. Reidy. An Introduction to Latent Semantic Analysis , 2009 .

[5] T. Landauer,et al. A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge. , 1997 .