Configuring Models

Machine learning (ML) Model training is the process of using user-provided documents to generate classification models based on classes that are created by the user or generated by Content Analyzer.

This process reduces the need for users to manually add classification words into their ontology document class definitions therefore allowing Content Analyzer to determine and extract the best features, including classification words in a document in order to simplify the process of training.