US Patent Issued to International Business Machines on July 15 for "Counterfactual neural network learning for contextual enhanced earnings call analysis" (New York, Massachusetts Inventors)

ALEXANDRIA, Va., July 16 -- United States Patent no. 12,361,492, issued on July 15, was assigned to International Business Machines Corp. (Armonk, N.Y.).

"Counterfactual neural network learning for contextual enhanced earnings call analysis" was invented by Yada Zhu (Irvington, N.Y.), Wei Zhang (Acton, Mass.), Xiaodong Cui (Chappaqua, N.Y.) and Guangnan Ye (Scarsdale, N.Y.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A machine learning model can be trained to predict one or more financial indicators using earnings call transcripts augmented with counterfactual information. Using faithful gradient-based method, prediction results with respect to a particular counterfactual information can be explained. Base...