Indeed, perplexity is still frequently used to evaluate models, and each of the models mentioned in the previous section, including CopulaLDA-designed to improve local topic quality-uses perplexity to evaluate the model.
while held-out perplexity can test the generalization of predictive models, it is negatively correlated with human evaluations of global topic quality (Chang et al., 2009).