We discovered, however, that batch models were markedly inferior to more traditional models for our purposes because the influence of the initial model diminishes too quickly; here, we need particular topics in the model to correspond to particular styles, and we accomplish this by seeding the model with known instances of each style (see Section 3).
our initial β consists of distributions where the entire probability mass is divided amongst the seeds for each corresponding topic, and a full iteration over the corpus occurs before β is updated.