COMPUTER-BASED SYSTEMS HAVING DATA STRUCTURES CONFIGURED TO EXECUTE SIC4/SIC8 MACHINE LEARNING EMBEDDED CLASSIFICATION OF ENTITIES AND METHODS OF USE THEREOF
Patent №
US 11,625,535
Granted
2023-04-11
Filed 2019
Owner
AMERICAN EXPRESS TRAVEL RELATED SERVICES COMPANY, INC.
Lab
—
AI components
7
ml · nlp · vision · speech · kr · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
16704424
At least some embodiments are directed to an entity classification system receives informational data associated with an entity. The informational data includes sentences associated with the entity. The entity classification system utilizes a first machine learning model to determine a first contextual meaning among words of a sentence associated with the entity based on a first word embedding technique, and determines at least one category associated with the entity based at least in part on the first contextual meaning. The entity classification system utilizes a second machine learning model to determine a second contextual meaning shared by a set of sentences based on a second embedding technique, and determines a subcategory of the category associated with the entity based at least in part on the second contextual meaning. The entity classification system generates an output including the category and subcategory associated with the entity.
AI classification
Ownership
AMERICAN EXPRESS TRAVEL RELATED SERVICES COMPANY, INC.
assignment · 519370614
Assignors
HORE, PRODIP, PRINCE, MRIGANK, CHAUDHURY, JAYATU SEN, THAPAK, PRAKHAR, BANERJEE, SOHAM, PANDEY, SHAILJA, DUGGAL, CHANDERPREET SINGH
On an employer assignment, the assignors are typically the inventors.