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Social media has penetrated into multilingual societies, however most of themuse English to be a preferred language for communication. So it looks naturalfor them to mix their cultural language with English during conversationsresulting in abundance of multilingual data, call this code-mixed data,available in todays' world.Downstream NLP tasks using such data is challengingdue to the semantic nature of it being spread across multiple languages.Onesuch Natural Language Processing task is sentiment analysis, for this we use anauto-regressive XLNet model to perform sentiment analysis on code-mixedTamil-English and Malayalam-English datasets.

NUIG-Shubhanker@Dravidian-CodeMix-FIRE2020: Sentiment Analysis of Code-Mixed Dravidian text using XLNet