As expected, the k-best n-grams in the models that use feature selection largely correspond to single words (e.g., 'unacceptable') or short expressions (e.g., 'I agree'), both of which clearly denoting stances in our domains.
the model is comparable to a variable-length word n-grams, but with greater flexibility to include subwords (e.g., 'believ*').