Traditionally, the input of LDA is a documentterm matrix of term frequencies (TF), according to the bag-of-words model (BoW).
wilson and Chew (2010) showed that point-wise mutual information (PMI) term weighting model can be successfully applied to eliminate stop words from topic descriptors.