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