Fig. 6

Correlation between topics based on model predictions, no keywords. Notes: Cells denote the frequency with which bills predicted as pertaining to Topic = Row are also coded as Topic = Column by the model, observing only bills for which there are no keywords present from either Topic = Row or Topic = Column. For example, 12.8% of bills which were predicted as pertaining to “Religion” (while lacking any “Religion” keywords) were also coded as pertaining to “Civil Rights” (while lacking any “Civil Rights” keywords).