Fine-grained Sentiment Classification using BERT
TABLE II: Accuracy (%) of our models on SST dataset compared to other models.1
['Model', 'SST-2 All', 'SST-2 Root', 'SST-5 All', 'SST-5 Root']
It shows the accuracy of various models on SST-2 and SST-5. It includes results for all phrases as well as for just the root (whole review). We can see that our model, despite being a simple architecture, performs better in terms of accuracy than many popular and sophisticated NLP models.