Abstract. This paper investigates the problem of automatic humour recognition, and provides and in-depth analysis of two of the most frequently observed features of humorous text: human-centeredness and negative polarity. Through experiments performed on two collections of humorous texts, we show that these properties of verbal humour are consistent across different data sets.
REF presented and analyzed the most frequent features including human-centeredness and negative polarity, which solved two questions related to humor recognition: One is whether humorous and non-humorous texts are separable.
Characterizing Humour: An Exploration of Features in Humorous Texts
CICLing
Computer Science