Part of a series to introduce the Vital AI software used to make predictions.
Go to beginning: Using the Vital AI software to make predictions
To categorize data, we need to define the categories and add them into our data model.
We can use a simple text file and helper application to do this.
First, our categories:
Then:
vitaltaxonomy -i twentynews_taxonomy.txt -o twentynews_categories.owl
The vitaltaxonomy command creates an OWL file that contains the list of categories.
These can be merged into our data model using:
vitalsigns mergeindividuals -o twentynews-1.0.2.owl -i ../taxonomy/twentynews_categories.owl
Now our categories are added into our data model. We can check it by listing them.
vitalsigns listindividuals -o twentynews-1.0.1.owl
And we can see them added into our model with Protege:
Next: Adding features and target to a Vital AI predictive model
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