Fig. 4
From: AI big model and text mining-driven framework for urban greening policy analysis
Distribution of annual topics and hot keywords of greening policies. In (b), the font size of the keywords is adjusted according to their TF-IDF values to indicate the importance and occurrence frequency of the keywords. The users can view the specific TF-IDF value of each keyword in real time through mouse interaction to further understand the statistical weight of each keyword in the policy text.
