We reimplemented features developed by <cite>Yang et al. (2015)</cite> and evaluated those features on Talk data. Considering the different characteristics of Talk data versus Pun data, we sought to investigate whether Yang's model could achieve the reported performance (over 85% accuracy) on our Talk data. The differences were 1) humorous sentences in Talk data were sentences which induced audience laughters, compared to Pun data which used canned textual humor, 2) all non-humorous sentences in Talk data were also from TED talks, and 3) each pair of humorous and non-humorous sentences were semantically close because they were closely placed. These differences made the humor classification task more challenging.