2-Part Webinar Series

Combining the Power of Natural Language Processing and Visualization in SAS Viya

Learn how to analyze unstructured data immediately - no matter your skill level – and how to communicate results to diverse stakeholders with embedded visualization.

About the webinar

The digitization of processes across organizations has resulted in a surge of unstructured data.  This text, website and social interaction data remains a largely untapped source of business value because it is more complicated to ingest, search and analyze than traditional structured sources. In this 2-part webinar series, you will learn how to unlock the value of your unstructured data – no matter your skill level – with SAS Viya. 

Part II: Building a Taxonomy to Operationalize Your Analysis

This webinar will cover how to categorize content based on common themes, the value combining techniques to build effective NLP models, including linguistic rules engine and machine learning engine. Explore best practices to continuously improve your NLP models. 

Join us to learn:

  • The common pitfalls of text mining projects
  • How to pre-process your unstructured text using SAS Viya
  • How to build a taxonomy to operationalize your analysis using SAS Viya
  • What to look for in an NLP toolkit for unstructured text data

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About the Experts


Tina Schweihofer

Tina Schweihofer is passionate about helping people understand how high-performance analytics, coupled with the right data strategy can deliver real business benefits. Tina leads a talented data sciences team that helps organizations across industries apply analytics to solve unique business problems using SAS.


Cindy Zhong

Cindy is a Solution Engineer from SAS Canada. She works with Advanced Analytics and Data Science teams across the financial services companies to architect their analytics platform and bringing their analytics projects into action. Cindy’s analytics experience spans multiple industries, including Banking, Insurances, Energy, Government.


Marzi Rasooli

Marzi is a Data Science Solutions Specialist for Financial Services at SAS Canada. She works with Data Science and Analytics teams across the financial services companies to architect their analytics projects and derive actionable insights from data.

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