Text Classification by Combining Grouping, LSA and kNN

A grouping method of the similar words is proposed for the classification of documents, which is applied to Reuters international news and it is shown that the grouping of words has equivalent ability to the latent semantic analysis (LSA) in the classification accuracy. Further, a new combining method is proposed for the documents classification, which consists of grouping, latent semantic analysis followed by the k-nearest neighbor classification (k-NN). The combining method proposed here, shows the higher accuracy in the classification than the conventional methods of the kNN, and the LSA followed by the kNN