SAS Contextual Analysis: Building Models
This course describes the functionality of SAS Contextual Analysis, a single web application that brings together the techniques used in text mining, categorization, contextual extraction, and sentiment identification. SAS Contextual Analysis helps you derive key business insight from unstructured text. It uses a combination of machine learning, linguistic, and subject matter expertise to uncover trends and themes in your data--insights that otherwise would have stayed hidden but can now give you an in-depth understanding of your business.
The self-study e-learning includes:
Who should attendText analysts, business and marketing analysts, web analysts, BI professionals, customer intelligence professionals, and social media analysts
Experience in SAS programming or statistical knowledge is not required to attend. You should be able to log on and off a computer, use a keyboard and mouse, and have a preliminary understanding of the differences between structured (numeric) and unstructured (text) data fields.
This course addresses SAS Contextual Analysis software.
Introduction to SAS Contextual Analysis
|Title||Duration||Access Period||Language||Fee||Add to Cart|
|SAS Contextual Analysis: Building Models (PDF + 20 Hours Virtual Lab)||14.0 hours||180 days||English||2,940 MYR|