This webinar will teach you how to build a workflow that applies text mining on biomedical literature within KNIME Analytics Platform. We’ll implement a topic modeling approach using documents related to user-selected diseases of interest. We’ll start by automatically extracting text documents from the database PubMed and perform topic modeling using the Latent Dirichlet Allocation (LDA) method. Additionally, you’ll learn how to create interactive visualizations of the extracted documents and topics.
This workshop is run by Martyna Pawletta (KNIME).
We're keeping the KNIME Community connected throughout April and May by bringing you a series of online events. Find out more here:
More online workshops
|May 5||Behind the Scenes of Machine Learning|
|May 7||Building a Drug Discovery Workflow in 8+1 steps with KNIME|
|May 12||Deep Learning for Image Analysis|
|May 14||KNIME Big Data Workshop|
|May 19||GDPR Compliance through Advanced Anonymization Techniques|
You’ll receive a zoom link with your registration confirmation. Make sure you have a stable internet connection!
Yes, we will have a Q&A and we'll do our best to answer these at the end of the workshop.
Download the latest free, open source version of knime here: knime.com/download