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: https://bit.ly/3fSoIPK Learn more about text analytics: https://bit.ly/3yK77SE Learn more about deep learning: https://bit.ly/2RGZWKF

Join us on Telegram: https://t.me/matlabcastor

Join us on Facebook Group: https://www.facebook.com/groups/matlabcodes