Abstract: The text mining method of massive network based on correlation mining was research on.With the rapid development of computer and network technology,the text rendering of network grew fast,the traditional network-based text mining method extracted feature from text to achieve text mining,but with the rapid growth in the amount of information,the traditional methods cannot meet the need of development.So a text mining method of massive network based on correlation mining was proposed,the feature was extracted with mass text to finish initial classification and characteristics identification,and then the method of mining correlation between the characteristics of the various texts correlation was used to do calculate the coefficient of correlation,according to the coefficient of correlation,the text was divided into several types,so the correlation can reflect the relationship between the characteristics of the text well.Finally,a team of random words were used to test the ability of the algorithm,and the result shows that the algorithm can adapt to massive text excavation well with good application value.