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.