3:41
Video length is 3:41
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.
Published: 9 Jan 2024
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