Way of text classification based on Bayes

Two important factors in text classification are discussed— algorithm and feature abstraction.The practical Bayesian algorithm has an assumption of strong independence of different properties and a modified way on polynomial is introduced.In Feature abstraction,different ways of abstracting features are discussed and a modified CHI based on word weight is introduced.At last the experiments show seen that correct rate of text classification is improved.