ABSTRACT
Testing and configuration are two of the important systems engineering aspects of text analytics, and they provide the framework for how the text analytics are applied. Testing is not viewed in isolation of the text analytics system but is, instead, built in with the analytics from the ground up. This Data-Ops approach is consistent with the concept of operations (CONOPS) and security + operations (SECOPS) approaches used in systems engineering. In this chapter, the advantages of using a distinct analytical process to perform testing and configuration validation on another analytics process are shown. This approach, a functional approach to text analytics testing, is shown to have advantages in building more robust text analytics overall.
