FII UAIC at SemEval-2022 Task 6: iSarcasmEval - Intended Sarcasm Detection in English and Arabic
Tudor Manoleasa, Daniela Gîfu, Iustin Sandu · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) · 2022
The "iSarcasmEval -Intended Sarcasm Detection in English and Arabic" task at the Se-mEval 2022 competition focuses on detecting and rating the distinction between intended and perceived sarcasm in the context of textual sarcasm detection, as well as the level of irony contained in these texts.In the context of SemEval, we present a binary classification method which classifies the text as sarcastic or non-sarcastic (task A, for English) based on five classical machine learning approaches by trying to train the models based on this dataset solely (i.e., no other datasets have been used).This process indicates low performance compared to previously studied datasets, which indicates that the previous ones might be biased.