Understanding how NER concepts facilitate your analyses.

NER, or Named Entity Recognition, is a deep learning text analytics subdomain where terms and phrases are identified within unstructured text and classified into categorical (aka entity) types (e.g. proteins, cell line, disease, companies, etc.). We use NER tagging to create NER Concepts, which appear in several areas of Layar. Some examples of how we leverage NER Concepts include Filters By Concept Type (Axon Specific), the Document View, and the NER Concept Graph.