Optum, Inc.

Zhijing J Liu

Ayan Sengupta

Saransh Chauksi

Various embodiments provide methods, apparatus, systems, computing entities, and/or the like, generating predictions based at least in part on recognizing significant words in unstructured text. In an embodiment, a method is provided. The method comprises: generating a plurality of word-level tokens for an input unstructured textual data object; and for each word-level token: determining a significance type and a significance subtype for the word-level token by using a significance recognition machine learning model, and assigning a significance token label or an insignificance token label to the word-level token. The method further comprises: generating a label-based feature data object based at least in part on a subset of word-level tokens associated with the significance token label; generating a prediction data object for the input unstructured textual data object by providing the label-based feature data object to a first prediction machine learning model; and performing one or more automated prediction-based actions.

Growing community of inventors

Audubon, PA, United States of America

Zhijing J Liu