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BERT Explains: Next-Level Natural Language Processing? Analytics always incorporates the latest open source NLP development into our technology stack. Recently, a new transfer learning process called BERT (short for Bidirectional Encoder Representations for Transformers) has created huge waves in the NLP research space. Basically, BERT is very effective in dealing with what can be described as “very serious” language problems. BERT NLP Briefly Historically, Natural Language Processing (NLP) models strive to classify words based on context. For example: He turned off the clock. compared Her mother's mockery left a scar that had never healed. Previously, textual analysis relied on shallow embedding methods. In this case, "embedding" is the process of mapping a different value (such as the word "wound") into a continuous vector. In these traditional embedding methods, the given name can be assigned to only one vector. In other words, the vector ...