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In this paper, we describe a methodology to predict sentiment in code-mixedtweets (hindi-english). Our team called verissimo.manoel in CodaLab developedan approach based on an ensemble of four models (MultiFiT, BERT, ALBERT, andXLNET). The final classification algorithm was an ensemble of some predictionsof all softmax values from these four models. This architecture was used andevaluated in the context of the SemEval 2020 challenge (task 9), and our systemgot 72.7% on the F1 score.

Deep Learning Brasil -- NLP at SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets