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

Learn how to apply BERT models (transformer-based deep learning models) to natural language processing (NLP) tasks such as sentiment analysis, text classification, summarization, and translation. This demonstration 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. You’ll learn about 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.