RoBERTa reaches 93.02% accuracy on binary IMDb sentiment classification and outperforms other tested models, with a soft-voting ensemble of all models yielding further gains.
Advancing sentiment analysis: Evaluating roberta against traditional and deep learning models
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From TF-IDF to Transformers: A Comparative and Ensemble Approach to Sentiment Classification
RoBERTa reaches 93.02% accuracy on binary IMDb sentiment classification and outperforms other tested models, with a soft-voting ensemble of all models yielding further gains.