Creating machine-learning text extraction models

Use Pega Platform machine-learning capabilities to create text extraction models for named entity recognition.

Before you begin: Make sure that the system locale language settings are set to UTF-8.

By using models that are based on the Conditional Random Fields (CRF) algorithm, you can extract information from unstructured data and label it as belonging to a particular group. For example, if the document that you want to analyze mentions Galaxy S8, the text extraction model classifies that as Phone.