Salta al contenuto principale
Passa alla visualizzazione normale.

GIOSUE' LO BOSCO

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

  • Autori: Cuzzocrea A.; Lo Bosco G.; Maiorana M.; Pilato G.; Schicchi D.
  • Anno di pubblicazione: 2021
  • Tipologia: 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.