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.
You’ll receive a zoom link with your registration confirmation. Make sure you have a stable internet connection!
Yes, there will be a Q&A Panel where your questions will be discussed.
Download the latest free, open source version of knime here: knime.com/download