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Text classification has received extensive attention in recent years, which is an important means of data mining. This paper analyzed basic theory and general structure of text classification, given a text classification method based on improved genetic algorithms, introduced simulated annealing mechanism of genetic algorithm to solve the precocious easy, local optimum, and so on, using the Roocchio feedback model to achieve feedback and self-learning of text classification. Experiment, we used this method to achieve a text classification system and the traditional KNN classification method were compared, results showed that the training methods for text classification has good accuracy and recall rate.