1 CNNbased text categorization methods have been applied to humor recognition (e.g., in (Bertero and Fung, 2016b) ) but with limitations: (a) a rigorous comparison with the state-of-the-art conventional method examined in <cite>Yang et al. (2015)</cite> is missing; (b) CNN's performance in the previous research is not quite clear; and (c) some important techniques that can improve CNN performance (e.g., using varied-sized filters and dropout regularization (Hinton et al., 2012)) were not applied. Therefore, the present study is meant to address these limitations.