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GIOVANNI PILATO

Towards a deep-learning-based methodology for supporting satire detection

  • Authors: Cuzzocrea A.; Lo Bosco G.; Maiorana M.; Pilato G.; Schicchi D.
  • Publication year: 2021
  • Type: Contributo in atti di convegno pubblicato in volume
  • OA Link: http://hdl.handle.net/10447/519358

Abstract

This paper describes an approach for supporting automatic satire detection through effective deep learning (DL) architecture that has been shown to be useful for addressing sarcasm/irony detection problems. We both trained and tested the system exploiting articles derived from two important satiric blogs, Lercio and IlFattoQuotidiano, and significant Italian newspapers.