In addition to stylistic features, we also experimented with content-based features, through experiments where the humor-recognition task is formulated as a traditional text classification problem.
we compare results obtained with two frequently used text classifiers, Naïve Bayes and Support Vector Machines, selected based on their performance in previously reported work, and for their diversity of learning methodologies.