In this work, we use the Expectation-Maximization (EM) algorithm (Dempster et al., 1977).
we use the naïve Bayesian EM formulation in (Nigam et al., 2000), which runs a Bayesian classifier iteratively on the labeled and unlabeled data until the probabilities for the unlabeled data converge.