Based on the Bayes, KNN, SVM applied to compare the Chinese text categorization Study. Application ICTCLAS word segmentation of Chinese document, in large dimension, multiple-data cases where application TFIDF feature selection, and also use it to realize the characteristics of weighted items, so that each text text library with a unified, capable of handling structural model. Three types of classification algorithm then weights the data for training and classification.

Chinese text categorization Study.pdf

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