Research on text clustering method based on improved CFSFDP algorithm
In order to further improve the clustering effect of Telecom complaint text,so as to analyze and process user feedback more efficiently,this paper first summarizes CFSFDP algorithm and differential evolution algorithm;secondly,an improved CFSFDP clustering method is designed,and the differential evolution algorithm is used to automatically optimize the important parameters of CFSFDP algorithm,which greatly improves the clustering accuracy;finally,experiments show that the improved method designed in this paper performs well in clustering accuracy,purity,recall rate and F value,which provides an innovative solution for efficient clustering of Telecom complaint text.
万方数据
维普
