KNIME Text Mining with NER Modeling and Deep Learning

April 9, 2020 - Online

In the digital era where the majority of information is made up of text-based data, text mining plays an important role for extracting useful information, providing patterns and insight from an otherwise unstructured data. In this workshop, you'll learn how to train your own, customized named entity recognition model. You’ll find out how to apply it to extract entities from text, and create entity relation networks.

Furthermore, we’ll look at how to preprocess and transform textual data into numbers to feed them into deep neural networks (LSTM) for prediction.

This workshop is run by Julian Bunzel & Andisa Dewi (KNIME).


We're keeping the KNIME Community connected throughout April and May by bringing you a series of online events. Find more here:

More online workshops

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 28 Text Mining on Biomedical Literature - Today: Topic Modeling
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?