US Patent Issued to FORTINET on Nov. 3 for "Systems and methods for using vector model normal exclusion in natural language processing to characterize a category of messages" (California Inventor)

ALEXANDRIA, Va., Nov. 3 -- United States Patent no. 12,783,645, issued on Nov. 3, was assigned to FORTINET INC. (Sunnyvale, Calif.).

"Systems and methods for using vector model normal exclusion in natural language processing to characterize a category of messages" was invented by Sameer Khanna (Cupertino, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems, devices, and methods are disclosed in relation to a vector space model that may be used to characterize a category of messages. In one of many possible implementations, the frequency of words found within a piece of text is determined. These frequencies are compared against the frequencies of words within a given corpus like the Oxford English C...