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.
Cuzzocrea, A., Lo Bosco, G., Maiorana, M., Pilato, G., Schicchi, D. (2021). Supporting Emotion Automatic Detection and Analysis over Real-Life Text Corpora via Deep Learning: Model, Methodology, and Framework. JOURNAL OF VISUAL LANGUAGES AND SENTIENT SYSTEMS, 2021(2), 33-38 [10.18293/JVLC2021-N2-016].
Supporting Emotion Automatic Detection and Analysis over Real-Life Text Corpora via Deep Learning: Model, Methodology, and Framework
Lo Bosco, Giosuè;Pilato, Giovanni;Schicchi, Daniele
2021-01-01
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.
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