US Patent Issued to Providence St. Joseph Health on Nov. 18 for "Predicting topic sentiment using a machine learning model trained with observations in which the topics are masked" (Colorado, Washington Inventors)

ALEXANDRIA, Va., Nov. 18 -- United States Patent no. 12,475,407, issued on Nov. 18, was assigned to Providence St. Joseph Health (Renton, Wash.).

"Predicting topic sentiment using a machine learning model trained with observations in which the topics are masked" was invented by Guilford T. Parsons (Seattle) and Kaitlin Claveau (Westminster, Colo.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A facility for determining sentiments expressed by a natural-language text string for each of one or more topics is described. In the natural-language text string, the facility identifies one or more topics. For each identified topic, the facility replaces the topic in the natural-language text string with a masking tag...