Deep Learning Brasil - NLP at SemEval-2020 Task 9: Sentiment Analysis of Code-Mixed Tweets Using Ensemble of Language Models
2020-12-01SEMEVALUnverified0· sign in to hype
Manoel Ver{\'\i}ssimo dos Santos Neto, Ayrton Amaral, N{\'a}dia Silva, Anderson da Silva Soares
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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.