Systematic Literature Review: Computational Approaches for Humour Style Classification

Authorship
Mary Ogbuka Kenneth, Foaad Khosmood, Abbas Edalat
Publication
arXiv
Non refereed paper

Tags

Abstract
Understanding various humour styles is essential for comprehending the multifaceted nature of humour and its impact on fields such as psychology and artificial intelligence. This understanding has revealed that humour, depending on the style employed, can either have therapeutic or detrimental effects on an individual's health and relationships. Although studies dedicated exclusively to computational-based humour style analysis remain somewhat rare, an expansive body of research thrives within related task, particularly binary humour and sarcasm recognition.