- Mariia Shubina
- Sijia Han
- Jiajing Li
In this project, we have utilized CNN + BiLSTM, BERTweet and Fine-tuned BERTweet three models to predict the sentiment of tweets related to masks and vaccines.
All three models have achieved over 60% accuracy on the test sets. The BERTweet model outperforms the CNN+BiLSTM model and the fine-tuned BERTweet on both the SemEval 2017 test set and the vaccine test set, with accuracy and F-1 scores of 71.9%, 72% and 78.2%, 79.2%, respectively. However, the fine-tuned BERTweet has higher accuracy score and F-1 socre, 72.2% and 69.1%, among the three models on the mask test set.