MarathiSarc

Sarcasm detection involves predicting whether a given text is sarcastic, a challenging task in sentiment analysis. While significant research has been conducted for languages like English, Czech, and Italian, limited work exists for Indian languages such as Hindi, Tamil, and Bengali. Marathi, being the third most spoken language in India, has seen little progress in sarcasm detection, mainly due to the lack of suitable datasets. To address this gap, we introduce MarathiSarc, a labeled dataset of Marathi tweets specifically designed for sarcasm detection, aimed at advancing research in this underexplored area of Natural Language Processing.