Research on the effect of text content communication based on text mining

The rapid development of Internet technology has directly changed the communication forms and important channels of network information. Taking the most critical enterprise We-media wechat official account as an example, based on the text mining method in the field of data mining, this paper deeply discusses the main content of massive text data in the new media environment, which can not only expand the spread scope of text content, but also obtain the similar text collection in the automatic processing. Therefore, on the basis of understanding text mining and text content, this paper uses clustering analysis algorithm to realize automatic text processing according to the current promotion of enterprise We-media wechat official accounts. The final results show that the type of content studied in this paper is the main factor affecting the communication effect, but the communication effect of similar content may also be affected by other factors, so there is a big gap in the communication effect of each type of content.