From Words to Wisdom - Text Analytics Use Cases

October 1, 2020 - Online

Whether you are dealing with social media data or long, complex documents, KNIME Analytics Platform can help you extract knowledge with a number of techniques. Over the years, Paolo Tamagnini (KNIME) and his evangelist colleagues have worked on a number of case studies.

In this talk, Paolo will present a subset of those case studies. After a short intro to the KNIME software, there will be examples of scraping social media activity, sentiment analysis, network analysis of user activity, named entity recognition, topic detection, and more.

Don’t forget to bring your questions to the webinar. Paolo will be answering questions in a Q&A session.

Paolo Tamagnini, a data scientist at KNIME, holds a master’s degree in data science from Sapienza University of Rome and has research experience from NYU in data visualization techniques for machine learning interpretability.


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?

Absolutely - fire away!

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?