Patent ID: 11922515
Assignee: PEPPERCORN AI TECHNOLOGY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. A method for providing platform-agnostic digital assistance for electronic communication with a user in a natural language format, the method comprising:
receiving, by a processor, user data from a storage containing informational contents;
establishing, by the processor, a communication channel with a computing device of an entity, wherein the entity computing device is in communication with the user for providing services to the user, the entity computing device including an interface for receiving digital communication from the user;
utilizing, by the processor, the communication channel to receive a first information related to a user between the processor and the entity, wherein the first information comprises communication exchanged between the entity and the user in natural language format for initiating an action on behalf of the user;
extracting, by the processor, at least one user datum from the first information and the user informational contents in the storage;
determining, by the processor, a user communication style from the user datum, wherein determining the user communication style further comprises:
analyzing, using the digital assistant, the user datum to determine a first communication style;
generating, using the digital assistant, first communication style training data based on the first communication style, wherein the first communication style training data comprises correlations between exemplary language elements which correspond to the first communication style, wherein the first communication style training data is labeled in accordance with the first communication style, wherein the language elements comprise at least one of words, tokens of words, and components of the language of the first information;
training a communication style machine learning model using only the first communication style training data, wherein the training is dynamic as the first information is received, and wherein the model is configured to generate a dynamic response in the determined first communication style; and
determining, using the communication style machine learning model, an appropriate natural language response in the first communication style, wherein the response is a function of the correlated exemplary language elements;
modifying, by the processor, the informational contents of the storage based on at least one of the user datum and the first information; and
transmitting, by the processor, a response as a function of the appropriate natural language response and the first communication style to the user.