This node builds a dictionary from a pre-categorized list of text documents which can then be used to categorize new, uncategorized text documents. This learner builds a weighted term look up table, to learn how probable each n-gram is for a given category. This look up table is used by the corresponding predictor node.
This classifier won the first Research Garden competition where the goal was to classify product descriptions into eight different categories. See press release (on archive.org).
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