Impact of emoji exclusion on the performance of Arabic sarcasm detection models

arXiv:2405.02195v1 Announce Type: cross
Abstract: The complex challenge of detecting sarcasm in Arabic speech on social media is increased by the language diversity and the nature of sarcastic expressions. There is a significant gap in the capability of existing models to effectively interpret sarcasm in Arabic, which mandates the necessity for more sophisticated and precise detection methods. In this paper, we investigate the impact of a fundamental preprocessing component on sarcasm speech detection. While emojis play a crucial role in …

abstract arabic arxiv capability challenge cs.cl cs.lg detection diversity emoji gap impact language media nature performance sarcasm social social media speech type