Jpmorgan Chase Bank, N.a.

Brandon Chihkai Yang

Maria Beltran

Chienchung Chen

Luke Meier

Philip Jacob

Sohajpal Shergill

Deepanjan Chakraborti

A method and a system for counteracting model drift in a Latent Dirichlet Allocation (LDA) model by maintaining freshness and accuracy in the LDA model by leveraging LDA classification and vector algebra to detect potential degradations are provided. The method entails determining whether an LDA model has drifted and therefore requires retraining based on measurements of cosine similarities of respective topics that correspond to two LDA models and a topic match entropy between the two LDA models that is determined based on the measurements.

Method and system for maintaining latent Dirichlet allocation model accuracy

Systems and methods for receiving a set analyzing case records by extracting case text, performing natural language processing, and allocating each case text to a topic. Topics may be clustered to identify meaningful patterns that are reflected in numerous case records. The data resulting from the analysis may be visualized on a dashboard to allow users to identify and explore these patterns.

Clustering topics for data visualization

Growing community of inventors

Chicago, IL, United States of America

Brandon Chihkai Yang