Text Mining on Biomedical Literature - Today: Topic Modeling

April 28, 2020 - Online

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

April 9 KNIME Text Mining with NER Modeling and Deep Learning
April 16 Sharing & Deploying Data Science with KNIME Server
April 21 Working with the RDKit in KNIME Analytics Platform
April 23 Time Series Analysis Workshop
April 30 Guided Labeling: Human-in-the-Loop Label Generation with Active Learning & Weak Supervision
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


How do I join the workshop?

You’ll receive a zoom link with your registration confirmation. Make sure you have a stable internet connection!

Will I be able to ask questions?

Yes, we will have a Q&A and we'll do our best to answer these at the end of the workshop.

Where do I find the latest version of KNIME Analytics Platform?

Download the latest free, open source version of knime here: knime.com/download

What other resources will help me to get started in KNIME?