Patent ID: 11900071
Assignee: FMR LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 12:
13. A computerized method in which unstructured computer text is analyzed for generation of customized digital documents, the method comprising:
receiving, by a server computing device from a computer data store, (i) a plurality of historical user interactions each associated with a user, each historical user interaction comprising a plurality of data fields, and (ii) a plurality of historical digital documents corresponding to the plurality of historical user interactions, each historical digital document comprising a corpus of unstructured computer text;
tokenizing, by the server computing device, each historical user interaction and each historical digital document into a set of tokens using a byte pair encoder;
encoding, by the server computing device, each set of tokens for the historical user interaction and the historical digital document into a multidimensional vector;
training, by the server computing device, an interaction classification model using the multidimensional vectors as input, the trained interaction classification model configured to generate a digital document classification for an input user interaction;
training, by the server computing device, a language generation model using the multidimensional vectors as input, the trained language generation model configured to generate a customized digital document based upon an input user interaction;
receiving, by the server computing device, a new user interaction associated with a user of a client computing device;
tokenizing, by the server computing device, the new user interaction into a new set of tokens and encoding the new user interaction into a new multidimensional vector based upon the new set of tokens;
executing, by the server computing device, the trained interaction classification model using the new multidimensional vector as input to generate a digital document classification for the new multidimensional vector;
executing, by the server computing device, the trained language generation model using the new multidimensional vector and the digital document classification for the new multidimensional vector as input to generate a customized digital document for the user of the client computing device; and
transmitting, by the server computing device, the customized digital document to the client computing device for display to the user of the client computing device.