With the development of internet, potential tourists began to search travel information of destination through the internet. At the same time, tourists also share their travel experiences by publishing travel notes and tips on online social platforms. These online texts from tourists describe their experiences and feelings of the destination from a subjective perspective, are also providing original data of destination image for researchers. This paper takes Beijing as a case study site, collected travel notes on Ctrip.com, used ROST CM6 to extract high-frequency feature words, and used network text analysis to analyze Beijing’s cognitive image, emotional image, and recommendation intentions. It can be found that the tourists have the strongest perception of the tourist attractions in the cognitive image, and shown a positive emotional image. Otherwise, the recommendation intention is not very clear. According to the results, relevant destination strategies to enhance the image of Beijing’s are proposed.