Text Topic Model

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Description

The Topic Model node is used to generate topic terms for a text data set, and group text by which topics are hit by any individual piece of text.

Setting	Description\Parameters
`Split Columns`	The selected column(s) will be used to split the data set over to build additional models.
`Text Columns`	Text data to be modeled.
`Number of Topics`	Number of unique sets of topics to be created.
`Minimum Probability`	Minimum probability for assignment to a topic.
`Include Top Terms in Output`	Include the terms in a `TOPIC_TERMS` output column.

Action	Description
`Preview`	After configuring the node, the combined result set can be previewed by clicking the `Preview` button.

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