In order to explore the relationship and action path of online public opinion, user-generated content, personal emotion, and tourist destination image, study constructed a mixed model that includes mediation effects and moderating effects, and designed a scale that includes online public opinion, personal emotion scale, The user generated questionnaires including the content scale and tourist destination image scale, and surveyed 540 subjects. Using statistical software (SPSS25, AMOS) to process and analyze the data obtained in the survey, the research results show that: Internet public opinion has a significant positive predictive effect on the image of tourist destinations. Internet public opinion can be influenced by personal emotions. The intermediary role predicts the image of tourist destinations.The direct prediction effect of online public opinion on the image of tourist destinations and the first half of the mediating role of personal emotions between online public opinion and tourist destination image are regulated by user-generated content.