Some result...

[computerphysicslab]

On NER with prose to identify people (PERSON) and geographical/political Entities (GPE) using a 519,369 word corpus about Coronavirus, most frequent resulting entities are:

COVID-19 :: GPE 1036 SARS-CoV-2 :: GPE 774 China :: GPE 332 Hard Nonporous :: PERSON 190 EUA :: GPE 184 Wuhan :: GPE 181 ICU :: GPE 156 Health :: GPE 153 Covid-19 :: LOCATION 151 SARS-CoV-2 | | | | :: GPE 132 Institutional :: GPE 130 Patients :: PERSON 112 Blue Cross :: PERSON 106 Clinical :: PERSON 105 Policy :: GPE 94 Italy :: GPE 93 RT-PCR :: GPE 91 Children :: GPE 91 University :: ORGANIZATION 88 United States :: GPE 87 US :: GPE 85 Blue Shield :: PERSON 85 ECMO :: GPE 79 ACE2 :: GPE 79 CD8 T :: PERSON 78 SARS :: PERSON 74 Disease-2019 :: ORGANIZATION 74 U.S. :: GPE 72 FDA :: GPE 70 PCR :: GPE 68 Medicare Advantage :: PERSON 66 Disease Control :: PERSON 65