You can run a Text Mining node to automatically generate a concept model nugget using the Generate directly option in the node settings. Or you can use a more hands-on, exploratory approach using the Build interactively mode to generate category model nuggets from within the Text Analytics Workbench.

Category model nugget

A Text Mining category model nugget is created whenever you generate a category model from within the Text Analytics Workbench. This modeling nugget contains a set of categories, whose definition is made up of concepts, types, TLA patterns, and/or category rules. The nugget is used to categorize survey responses, blog entries, other web feeds, and any other text data.

If you launch a Text Analytics Workbench session in the modeling node, you can explore the extraction results, refine the resources, and fine-tune your categories before you generate category models. When you run a flow that contains a Text Mining model nugget, new fields are added to the data according to the build mode selected in the settings of the Text Mining node.

If the model nugget was generated using translated documents, the scoring is performed in the translated language. Similarly, if the model nugget was generated using English as the language, you can specify a translation language in the model nugget, since the documents will then be translated into English.

Text Mining model nuggets are placed in the Outputs pane when they're generated.

Concept model nugget

A Text Mining concept model nugget is created whenever you successfully run a Text Mining node where you've selected the option to Generate directly in the node settings. Use a text mining concept model nugget for the real-time discovery of key concepts in other text data, such as scratch-pad data from a call center.

The concept model nugget itself comprises a list of concepts, which have been assigned to types. You can select any or all of the concepts in that model for scoring against other data. When you run a flow containing a Text Mining model nugget, new fields are added to the data according to the build mode selected in the settings of the Text Mining modeling node.

If the model nugget was generated using translated documents, the scoring will be performed in the translated language. Similarly, if the model nugget was generated using English as the language, you can specify a translation language in the model nugget, since the documents will then be translated into English.

Text Mining model nuggets are placed in the Outputs pane when they're generated.