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In recent years, there has been a lot of focus on offensive content. Theamount of offensive content generated by social media is increasing at analarming rate. This created a greater need to address this issue than everbefore. To address these issues, the organizers of "Dravidian-Code MixedHASOC-2020" have created two challenges. Task 1 involves identifying offensivecontent in Malayalam data, whereas Task 2 includes Malayalam and Tamil CodeMixed Sentences. Our team participated in Task 2. In our suggested model, weexperiment with multilingual BERT to extract features, and three differentclassifiers are used on extracted features. Our model received a weighted F1score of 0.70 for Malayalam data and was ranked fifth; we also received aweighted F1 score of 0.573 for Tamil Code Mixed data and were ranked eleventh.

IIITDWD-ShankarB@ Dravidian-CodeMixi-HASOC2021: mBERT based model for identification of offensive content in south Indian languages