Text representation is the basis of text processing. Most current text representation model didn’t consider of the words’ relations and result in the loss of text’s structure information, which is important to understand the text. This paper proposed a novel text representation model, which uses lexical network to represent the text and retains the text’s structure. According to the different levels of words’ relations, co-occurrence network, syntactic network and semantic network are introduced. The text network representation was applied into text classification to measure the representation ability of this model. The experiment result shows that our text network representation is prior to vector space model.