Under the background of globalization, cultural innovation has become a key factor and frontier field of national power competition, and it has gradually become a strategic choice for all countries in the world to promote their own culture to go out and improve international communication ability. In the article, CycleGAN network is improved to realize the intelligent generation of non-heritage cultural symbols, and the image style migration effect of the improved model is proved by the ablation experiment and the comparison experiment on different datasets. Then the fuzzy set qualitative comparative analysis is applied to analyze the influencing factors and grouping paths of popular videos related to non-heritage cultural symbols spreading in YouTube platform. It is found that there are two grouping paths for the spread of NRH cultural symbols: flexible spread of pan-life content and implicit spread of pan-knowledge content. The global dissemination of NRH cultural symbols can be carried out in terms of relevant departments leading, multi-party participation, digital recording and display, network platform dissemination and digital creative product development.
