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