While the original methods were based on count-based vectors, in recent years they have been used with word embeddings (Mikolov et al., 2013;Pennington et al., 2014), and have gained popularity thanks to their ease of use and their high performance on several common datasets.
we experimented with two feature weightings: • Frequency -raw frequency (no weighting): M i,j is the number of co-occurrences of w i and c j in the corpus.