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BERT is an open-source machine learning framework that is used for various natural language processing (NLP) tasks. It is designed to help computers better understand nuance in language by grasping the meaning of surrounding words in a text. BERT is more than just a part of Google’s algorithm, though. As an open-source framework, anyone can use it for a wide array of machine-learning tasks. BERT models look at all of the surrounding words to understand the context, allowing it to understand a word based on the company it keeps, as we do in natural language.