In contrast to the other strategies just discussed, our text categorization approach to deception detection allows us to model both content and context with n-gram features.
we consider the following three n-gram feature sets, with the corresponding features lowercased and unstemmed: UNIGRAMS, BIGRAMS + , TRIGRAMS + , where the superscript + indicates that the feature set subsumes the preceding feature set.