US Patent Issued to Text IQ on May 27 for "Identifying documents that contain potential code words using a machine learning model" (Canadian, American Inventors)

ALEXANDRIA, Va., June 17 -- United States Patent no. 12,314,665, issued on May 27, was assigned to Text IQ Inc. (New York).

"Identifying documents that contain potential code words using a machine learning model" was invented by Apoorv Agarwal (New York), Ethan Benjamin (New York) and Jasneet Sabharwal (Vancouver, Canada).

According to the abstract* released by the U.S. Patent & Trademark Office: "Identifying documents that contain potential code words using a machine learning model. In some embodiments, a method may include receiving documents, identifying a first corpus and a second corpus in the documents, extracting a first set of word embeddings from the first corpus and a second set of word embeddings from the second corpus, generat...