- Performed a sentiment analysis using BERT and roBERTa to predict the emotion of tweets about coronavirus
- Realised a basic Naive Bayes classifier to serve as a benchmark for the two models, with accuracy around 70%
- Produced remarkable results, with both models yielding around 90% accuracy and F1 scores, significantly surpassing the benchmark
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Sentiment analysis using BERT and roBERTa to predict the emotion of tweets about coronavirus
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