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In this video tutorial, Chris McCormick explains how to apply BERT to document classification. While previously focusing on fine-tuning BERT for sentence classification, the main difference now is dealing with BERT's input text length limitation. To address this issue, a different data set of Wikipedia comments containing personal attacks will be used. Details about the data set will be discussed later in the tutorial. As a bonus, there will be additional information provided at the end of the notebook.
