Abstract:

Base on BP neural networks and PCA, an auto text classification model was presented. By the use of PCA, this model reduced the dimensions of feature matrix, and the parameters were optimized gradually by amounts of simulation results. The experimental results based on 20-newgroups shows that the model has better performance and can get high accuracy of text classification.

Key words: text classification, back-propagation neural network, principal component analysis