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How to Use BERT Models for Natural Language Processing (NLP) Tasks in MATLAB

Learn how to apply BERT (transformer-based deep learning model) to natural language processing (NLP) tasks such as sentiment analysis, text classification, summarization, and translation. This video shows how to use Text Analytics Toolbox™ and Deep Learning Toolbox™ in MATLAB® to fine-tune a pretrained BERT model for a text classification task. We walk through MATLAB code that illustrates how to start with a pretrained BERT model, add layers to it, train the model for the new task, and validate and test the final model. Get transformer models for MATLAB: Learn more about text analytics: Learn more about deep learning:

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