Text Mining Nugget: Concept Model

A Text Mining concept model nugget is created whenever you successfully execute a Text Mining model node where you've selected the option to Generate a model directly in the Model tab. A text mining concept model nugget is used 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 execute a stream containing a Text Mining model nugget, new fields are added to the data according to the build mode selected on the Model tab of the Text Mining modeling node prior to building the model. See the topic Concept Model: Model Tab for more information.

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 model nugget palette (located on the Models tab in the upper right side of the IBM® SPSS® Modeler window) when they are generated.

Viewing Results

To see information about the model nugget, right-click the node in the model nuggets palette and choose Browse from the context menu (or Edit for nodes in a stream).

Adding Models to Streams

To add the model nugget to your stream, click the icon in the model nuggets palette and then click the stream canvas where you want to place the node. Or right-click the icon and choose Add to Stream from the context menu. Then connect your stream to the node, and you are ready to pass data to generate predictions.

Caution: If you want to use a scoring nugget to regenerate a modeling node that contains both the category model and the template used, we recommend that you create a TAP and use it in an interactive session, in place of the modeling node, before generating the scoring nugget.