Build a text classifier using fine$-$tune BERT or a deep neeural network $($CNN$)$

In this part, you will build text classifiers that try to infer whether tweets from @realDonaldTrump were written by Trump himself or by a staff person. This is an example of binary classification on a text dataset.This is a classification task known as "authorship attribution", which is the task of inferring the author of a document when the authorship is unknown. We will see how accurately this can be done with linear classifiers using word features.