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Supervised classification

Оглавление

Machine learning via supervised classification uses exemplars of known document types to classify new documents in a two-step process:

1 Train the algorithm using known, manually classified content.

2 Classify new content using the trained algorithm.

In a stable content environment, AI teams use supervised classification to set custom classification models specific to a particular application or organization. This method requires human intervention to select the training data and optimize the model, and thus requires substantial involvement and effort in the early phases of the project, but yields predictable, accurate results.

Enterprise AI For Dummies

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