Text Analytics for Biomedical Applications

In this presentation, we will take a closer look at the background and motivation for leveraging text analytics for biomedical applications. We will cover detailed explanations of some practical biomedical applications such as sentiment analysis, topic modeling and text classification

Part 1: Introduction to Text Analytics Discover the motivation behind using text analytics in biomedical applications and an overview of a typical text analytics workflow in MATLAB.

Part 2: Twitter Sentiment Analysis for Biomedical Applications Review the steps involved in building a sentiment analysis model and deploying it as a standalone app in MATLAB.

Part 3: COVID-19 Topic Modeling and Document Summarization Learn how to use text analytics in MATLAB to explore research articles related to COVID-19 and other coronaviruses.

Part 4: Predict Hospital Readmission Using Text Classification Build a text classification model to predict an unintended hospital readmission.