This study takes the product review texts on the e-commerce platform as the mining object, and focuses on the identification of feature words and opinion words in reviews. First, we build bipartite network with feature-opinion words, and give the sorting algorithm of node importance in this network. At last, the algorithm is applied to the actual review text data to verify the effectiveness of the algorithm.