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About Building Concept Models  

During training and learning, the NLP engine builds a concept model to represent each category maintained by the KB file. The NLP and statistical engines analyze texts, and generate concept models for each category in the KB.

NLP enables Smart Answer Manager to understand the intent of the text rather than just treating the text as a collection of randomly ordered words or strings. The NLP engine can locate unnecessary header information and allows Smart Answer Manager to disregard this text when Smart Answer Manager analyzes the incoming text.