Previous studies (Mihalcea and Strapparava, 2005;<cite> Yang et al., 2015</cite>; Zhang and Liu, 2014; Purandare and Litman, 2006; Bertero and Fung, 2016) dealt with the humor recognition task as a binary classification task, which was to categorize a given text as humorous or non-humorous. These studies collected textual data which consisted of humorous texts and non-humorous texts and built a classification model using textual features. Humorous and non-humorous texts were from different domains across the studies. Pun websites, daily joke websites, or tweets were used as sources of humorous texts. Resources such as news websites, proverb websites, etc. were used as sources of non-humorous texts.