In this paper, we explore the applicability of computational approaches to the recognition of verbally expressed humor.
we investigate whether automatic classification techniques are a viable approach to distinguish between humorous and non-humorous text, and we bring empirical evidence in support of this hypothesis through experiments performed on very large data sets.