Fmr Corp.

Angela Kontos

Rachna Saxena

Arindam Paul

Arijit Saha

Aaditya Mathur

Pavan Mohan

Santhosh Kolloju

Mohamed Asif Khan

Methods and apparatuses are described in which unstructured computer text is analyzed for generation of customized digital documents. A server tokenizes and encodes historical user interactions and historical digital documents into multidimensional vectors. The server trains an interaction classification model using the multidimensional vectors as input to generate a classification for an input user interaction, and trains a language generation model using the multidimensional vectors as input to generate a customized digital document based upon an input user interaction. The server receives a new user interaction and encodes the new user interaction into a new multidimensional vector. The server executes the trained interaction classification model using the new vector as input to generate a digital document classification. The server executes the trained language generation model using the new vector and the classification as input to generate a customized digital document.

Generating customized digital documents using artificial intelligence

Growing community of inventors

Malden, MA, United States of America

Angela Kontos