Text Mining Techniques

June 25, 2020 - Online

Analyzing textual data comes with its own set of unique challenges. Whether you’re evaluating consumer sentiment about a product, clustering terms in medical literature, or extracting topics from social media posts - you need a tool that’s broadly applicable. KNIME Analytics Platform will help you tokenize, enrich, process, and visualize your text data, with an eye on building predictive models you can easily put into production. What’s more, with KNIME you can build a workflow using a graphical user interface, without writing any code.

Join Dursun Delen (Professor of Management Science and Information Systems at Oklahoma State University) and Scott Fincher (Data Scientist at KNIME) as we walk you through a demo of some common text analytics techniques using KNIME Analytics Platform. We’ll touch on use cases like sentiment analysis and topic modeling, and present methods for both exploratory visualization and model creation. We’ll also be available for a Q&A session afterward, so be sure to bring your questions.


How do I join the webinar?

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, there will be a Q&A Panel where your questions will be discussed.

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?