Deep Learning for Text Analysis with BERT

Join Franziska Rau and Adrian Nembach in this webinar to find out what the deep learning network BERT is and how it can be used for different text processing related tasks. We will kick off the webinar with a short introduction to BERT and how it achieves state-of-the-art performance for a variety of text processing tasks. Then we will dive into text classification for our first Movie Reviews use case. We’ll show you how to perform sentiment analysis on a dataset of movie reviews using BERT and TensorFlow 2 in KNIME Analytics Platform. Our second use case involves a semantic search application on the CORD-19 dataset (https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge), which contains a plethora of papers on COVID-19. Here, we will use BERT to get a semantic representation of the content of the papers that allows us to find the most relevant for a user-supplied question.