Building machine-learning text extraction models

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

Before you begin:

Define an entity model in which to accommodate the entities trained as a result of machine learning. For more information, see Creating entity models.
Make sure that the system locale language settings are set to UTF-8.
Specify a repository for text analytics models. For more information, see Specifying a database for Prediction Studio records.

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.