6533b7d6fe1ef96bd1266699

RESEARCH PRODUCT

Supporting Emotion Automatic Detection and Analysis over Real-Life Text Corpora via Deep Learning: Model, Methodology, and Framework

Giosuè Lo BoscoAlfredo CuzzocreaDaniele SchicchiGiovanni PilatoMariano Maiorana

subject

Text corpusSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - InformaticaComputer sciencebusiness.industryDeep learningcomputer.software_genreNLPDeep LearningArtificial intelligenceSatire DetectionbusinesscomputerNatural language processing

description

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.

yearjournalcountryeditionlanguage
2021-12-10
10.18293/jvlc2021-n1-016http://hdl.handle.net/10447/519388