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This paper presents our strategy to tackle the EACL WANLP-2021 Shared Task 2:Sarcasm and Sentiment Detection. One of the subtasks aims at developing asystem that identifies whether a given Arabic tweet is sarcastic in nature ornot, while the other aims to identify the sentiment of the Arabic tweet. Weapproach the task in two steps. The first step involves pre processing theprovided ArSarcasm-v2 dataset by performing insertions, deletions andsegmentation operations on various parts of the text. The second step involvesexperimenting with multiple variants of two transformer based models,AraELECTRA and AraBERT. Our final approach was ranked seventh and fourth in theSarcasm and Sentiment Detection subtasks respectively.

AraBERT and Farasa Segmentation Based Approach For Sarcasm and Sentiment Detection in Arabic Tweets