6533b824fe1ef96bd128120b
RESEARCH PRODUCT
Towards a deep-learning-based methodology for supporting satire detection
Cuzzocrea A.Lo Bosco G.Maiorana M.Pilato G.Schicchi D.subject
Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniDeep Neural NetworksSettore INF/01 - InformaticaVisual languagesNatural Language processingDeep learningSatire Detectiondescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-01-01 |