Abstract: This paper uses the network text mining methods to analyze 600 articles and 684 tourists essays in sina blog and ctrip blog. Based on the result of participle word frequency statistics, it divides the images of tourist' perception of Suzhou Pingjiang road into three kinds, including the image of geographical location, the image of tourism destination types and the image of locality, according to visitors' attention from high to low. The result shows that the tourists's attention on image of local tourism in blog's articles is higher than in tourists' essays. At the same time, the image of tourism destination types and the image of locality can be further explored. In general, this paper argues that Pingjiang road should focus on developing local tourism cultural products and the characteristics tourist attractions so as to transfer its massive historical and cultural background to the tourists, meanwhile, it should develop with other linkage scenic spot of Suzhou.