cally outperform existing Natural Language Processing ( NLP ) approaches to identify names of persons or entities in unstructured data .
Radiance performed at a 93.1 percent accuracy level on unstructured , improperly cased documents such as HTML , JSON or computer code and other socalled messy documents compared to 0 percent for Stanford Named Entity Recognizer ( NER ) and other popular opensource NLP software .
www . AmericanSecurityToday . com July 2021 - Edition 56
Additionally , the BAMs generated with Lumina ’ s machine learning are “ human readable ,” making them fully auditable as well .
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