In this project, we analyze positive and negative hotel reviews and design a model for inferring positive or negative sentiment given a review. We combine a pretrained BERT language model and a binary classification head with sigmoid activation to achieve this. The data source for this project is Kaggle
Word clouds for the respective sentiments:
