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.