The Resource Editor view
Text Analytics rapidly and accurately captures key concepts from text data using a robust extraction engine. This engine relies heavily on linguistic resources to dictate how large amounts of unstructured, textual data should be analyzed and interpreted.
The Resource Editor view is where you can view and fine-tune the linguistic resources used to extract concepts, group them under types, discover patterns in the text data, and much more. Text Analytics offers several preconfigured resource templates. Also, in some languages, you can also use the resources in text analysis packages.
Since these resources may not always be perfectly adapted to the context of your data, you can create, edit, and manage your own resources for a particular context or domain in the Resource Editor.
To simplify the process of fine-tuning your linguistic resources, you can perform common dictionary tasks directly from the Categories and concepts view through context menus in the Extraction Results and Data panes.
The operations you perform in the Resource Editor view revolve around the management and fine-tuning of the linguistic resources. These resources are stored in the form of templates and libraries. The Resource Editor view is organized into four parts: Library Tree pane, Type Dictionary pane, Substitution Dictionary pane, and Exclude Dictionary pane.