Abstract:In terms of the claims by electric power cousumers,texts of claims are classified.The central vector algorithms and KNN algorithms two classification methods are introduced some improvements are made on the drawbacks of KNN algorithm.Finally,an empirical study of using the improved KNN algorithm,the central vector algorithm and the traditional KNN algorithm to categorize the Chinese text is conducted.The result of the experiment shows that,compared with the improved KNN algorithm,the improved algorithm has better categorization effect of the Chinese text,verifying better validity and feasibility.