US Patent Issued to Qualtrics on March 17 for "Using machine learning to generate segments from unstructured text and identify sentiments for each segment" (Washington Inventors)

ALEXANDRIA, Va., March 17 -- United States Patent no. 12,579,371, issued on March 17, was assigned to Qualtrics LLC (Provo, Utah).

"Using machine learning to generate segments from unstructured text and identify sentiments for each segment" was invented by Kristjan Arumae (Seattle), Zheng Zheng Xing (Bellevue, Wash.) and Recep Colak (Seattle).

According to the abstract* released by the U.S. Patent & Trademark Office: "The present disclosure relates to systems, non-transitory computer-readable media, and methods for segmenting unstructured text into salient portions and identifying sentiments expressed in each segment. In particular, the disclosed systems utilize a segmentation machine learning model to segment unstructured text into salie...