Processing and analysis of unstructured text is a very useful part of any data scientist’s toolkit -but if you’ve never tried it before, it can be intimidating. Have you ever wondered how to classify sentiment of product reviews, or extract topics from a large set of documents in an automated way? If you’ve wanted to try using the text processing features available in KNIME Analytics Platform, but just didn’t know where to begin, this session is for you. And since we’ll be using KNIME, you’ll see how easy this process can be using a no-code approach, and you’ll take with you example workflows to explore further on your own via the KNIME Hub. Come join Scott and Lisa for a jumpstart session, where we’ll cover:
A brief introduction to text processing philosophy
Important nodes in the Text Processing extension
A sentiment analysis example using movie reviews
A topic extraction example using medical abstracts
You’ll receive a link with your registration confirmation. Make sure you have a stable internet connection!
Absolutely - fire away!
Download the latest free, open source version of KNIME here: knime.com/download.