This series of videos spotlights a very powerful API that lets you use Python while also having access to the power of SAS Deep Learning.
In this blog, I use data from the U. S. Department of State Trafficking in Persons (TIP) reports for the years 2013-2017 to accomplish these objectives: 1) To determine what are the main themes in TIP reports, and 2) to show how to work with ASTORE code to deploy models using SAS Viya 3.4 Visual Text Analytics 8.4.
The machine learning autogenerated concept and fact rules in VTA 8.4 facilitate the process of developing LITI rules to extract and find information in text documents. There are many important problems where the use of Text Analytics provides valuable insights such as with Human Trafficking.
