SAS® Visual Text Analytics in SAS® Viya®
SAS Visual Text Analytics enables you to uncover insights hidden within unstructured data using the combined power of natural language processing, machine learning, and linguistic rules. This course explores the five components of Visual Text Analytics: parsing, concept derivation, topic derivation, text categorization, and sentiment analysis. Documents are parsed and analyzed to reveal dominant themes in the document collection. Sophisticated linguistic queries are constructed to satisfy specific information needs. An integrated solution is developed using information extracted from subject matter expert rules, combined with machine learning results for model and rule-based topics and categories. The course includes hands-on use of SAS Viya in a distributed computing environment.
This course can help prepare you for the following certification exam(s): SAS® Certified Specialist: Natural Language Processing and Computer Vision Using SAS Viya 3.4.Learn how to
Who should attendText analysts, business and marketing analysts, web analysts, BI professionals, customer intelligence professionals, social media analysts, and document librarians
Neither SAS programming experience nor statistical knowledge is required. You should be comfortable using a computer, have experience using browser-based software solutions, and have a basic understanding of the differences between structured (numeric) and unstructured (text) data fields.
This course addresses SAS Visual Text Analytics software.
Introduction to SAS Visual Text Analytics
|Title||Duration||Access Period||Language||Fee||Add to Cart|
|SAS Visual Text Analytics in SAS Viya||14.0 hours||180 days||English||780 USD|
|Dates||Location||Time||Language||Fee||Add to Cart|
|24-25 AUG 2020||Live Web||09:00 AM-05:00 PM EDT||English||1,300 USD|
|12-13 NOV 2020||Live Web||09:00 AM-05:00 PM EST||English||1,300 USD|
|23-26 MAR 2021||Live Web||01:00 PM-04:30 PM EDT||English||1,300 USD|
|13-14 MAY 2021 Connected Class||Live Web||09:00 AM-05:00 PM EDT||English||1,300 USD|
|27-30 JUL 2021||Live Web||01:00 PM-04:30 PM EDT||English||1,300 USD|
|28 SEP-01 OCT 2021||Live Web||01:00 PM-04:30 PM EDT||English||1,300 USD|