Building machine learning entity extraction models
Use Pega Platform machine learning capabilities to create entity extraction models to recognize named entities.
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 entity extraction model classifies that as
Phone.
Previous topic Detecting transaction details with Ruta Next topic Preparing data for entity extraction