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Building machine-learning text extraction models

Updated on April 5, 2022

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

Before you begin: 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.

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