How to classify neutral sentiments using BERT We can do text classification as positive and negative as mentioned in below notebook. But is there any way to classify neutral sentiment also?

https://colab.research.google.com/github/google-research/bert/blob/master/predicting_movie_reviews_with_bert_on_tf_hub.ipynb

Actually, I want to know like what kind of changes do we need to make in the above notebook so that it can classify neutral sentiments also besides positive and negative.

Thanks in advance.
Welcome to DS.SE, @prashanth

Yes! In general, it is possible to classify the documents to more than two classes of positive and negative sentiments as long as you have such labels in your training set.

Please take a look at this for some more general information about the sentiment analysis, tools, and applications.