Application of kNN improved algorithm in automatic classification of network public proposal cases

With the rapid development of information technology, the concept of big data is used in information collection on different things, especially for the text classification. This paper propose an improved KNN algorithm based on clustering for the automatic classification of Web text. In addition, we find a new method to find out which text in the same category belongs to the same cluster. Finally, we classify Web text automatically and test them by using the existing and improved KNN algorithm respectively. Simulation results show that the improved algorithm can significantly raise the accuracy of automatic classification.