American Express Travel Related Services Company, Inc.

Jayatu Sen Chaudhury

Tirthankar Choudhuri

Prasanta Sahu

Amber Gupta

Chanderpreet Singh Duggal

Mrigank Prince

Shailja Pandey

Prodip Hore

Soham Banerjee

Prakhar Thapak

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.

Computer-based systems having data structures configured to execute SIC4/SIC8 machine learning embedded classification of entities and methods of use thereof

Predictive models are developed automatically for a plurality of modeling variables. The plurality of modeling variables is transformed, based on a transformation rule. A clustering of the transformed modeling variables is performed to create variable clusters. A set of variables is selected from the variable clusters based on a selection rule. A regression of the set of variables is performed to determine prediction variables. The prediction variables are utilized in developing a predictive model. The development of the predictive model may include modification of the predictive model, review of the plurality of transformations, and validation of the predictive model.

Automated predictive modeling of business future events based on transformation of modeling variables

Automated predictive modeling of business future events based on historical data

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Edison, NJ, United States of America

Jayatu Sen Chaudhury