
The TRABSA model, a novel hybrid sentiment analysis framework that integrates transformer-based architectures, attention mechanisms, and BiLSTM networks, outperforms traditional ML models, stacking models, and hybrid DL models in accurately classifying tweet sentiments related to the COVID-19 pandemic.


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transformer-based-attention-bidirectional-lstm-for-accurate-and-interpretable-sentiment-analysis-of-covid-19-tweets


Transformer-based Attention Bidirectional LSTM for Accurate and Interpretable Sentiment Analysis of COVID-19 Tweets
