US Patent Issued to Invoca on June 3 for "Topic-based semantic search of electronic documents based on machine learning models from Bayesian Belief networks" (California Inventors)

ALEXANDRIA, Va., June 4 -- United States Patent no. 12,322,382, issued on June 3, was assigned to Invoca Inc. (Santa Barbara, Calif.).

"Topic-based semantic search of electronic documents based on machine learning models from Bayesian Belief networks" was invented by Michael Kingsley McCourt Jr. (Santa Barbara, Calif.), Kian Ghodoussi (Los Angeles) and Victor Borda (Santa Barbara, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computer-implemented method executed using a computing device comprises digitally generating and storing a machine learning statistical topic model in computer memory, the topic model being programmed to model call transcript data representing words spoken on a call as a funct...