Sentiment analysis, scoring with BERT quickly

Sentiment Analysis is at its core text classification which automatically extracts facts or sentiments about a product or a service, based on a large input of labeled data. It' can be done in simple binary style positive or a negative, or it might summarise in a more complex way: rating the attitude towards the brand, product, or public opinion. A good example for binary sentiment analysis is Quora's comments in experimentation if the comments have sincere or insincere sentiment. Since the binary classification is not the subject of this research the code will be attached in the resources section. Creating and analyzing public opinion is a domain for itself, focused more on Linguistics and Cognitive Psychology.