Using Concept Model Nuggets in a Stream
When using a Text Mining modeling node, you can generate either a concept model nugget or a category model nugget (through an interactive workbench session). The following example shows how to use a concept model in a simple stream.
Example: Statistics File node with the concept model nugget
The following example shows how to use the Text Mining concept model nugget.
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Statistics File node (Data tab). First, we added this node to the stream to specify where the
text documents are stored.
Figure 2. Statistics File node dialog box: Data tab 
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Text Mining concept model nugget (Model tab). Next, we added and connected a concept model
nugget to the Statistics File node. We selected the concepts we wanted to use to score our data.
Figure 3. Text Mining model nugget dialog box: Model tab 
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Text Mining concept model nugget (Settings tab). Next, we defined the output format and
selected Concepts as fields. One new field will be created in the output for each concept
selected in the Model tab. Each field name will be made up of the concept name and the prefix
"Concept_"
Figure 4. Text Mining concept model nugget dialog box: Settings tab 
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Text Mining concept model nugget (Fields tab). Next, we selected the text field,
Q2_What_do_you_like_least_about_this_portable_music_player, which is the
field name coming from the Statistics File node. We also selected the option Text field
represents: Actual text.
Figure 5. Text Mining concept model nugget dialog box: Fields tab 
- Table node. Next, we attached a table node to see the results and executed the stream. The table output opens on screen.
