System

A system comprising:

• a communication interface coupled to a packet-switched network;
• and
• circuitry configured to:
• acquire, via the communication interface, communication data and user attribute data associated with a user identifier from a storage device;
• execute a natural language processing operation on the communication data to extract intent information, topic information, and keyword information;
• recognize an emotional state of the user by executing an emotion analysis algorithm, and track a temporal change of the emotional state across successive instances of the communication data;
• convert the communication data into a vector representation by executing an embedding model and derive topic clusters by applying a clustering algorithm;
• generate a prompt sentence comprising structured fields populated with the intent information, the topic information, the keyword information, the emotional state, and user characteristic information derived from the user attribute data;
• transmit the prompt sentence to a generative neural network model comprising a transformer architecture via the communication interface and receive response candidate text data;
• perform a filtering operation on the response candidate text data comprising inappropriate expression detection, length adjustment, and format normalization;
• transmit filtered output text data to a terminal device via the communication interface;
• and
• update the user attribute data in the storage device based on user interaction data indicating acceptance or modification of the output text data.

A method comprising:

• acquiring, via a communication interface coupled to a packet-switched network, communication data and user attribute data associated with a user identifier from a storage device;
• analyzing the communication data by executing a natural language processing operation to extract a keyword set and topic information, and recognizing an emotional state of a user by executing an emotion analysis algorithm on the communication data;
• generating a prompt sentence based on the keyword set, the topic information, the emotional state, and content data received from a counterpart device, the prompt sentence comprising structured fields specifying a personality parameter, a context parameter, and a response constraint;
• transmitting the prompt sentence to a generative neural network model via the communication interface and receiving, from the generative neural network model, response candidate text data;
• performing a filtering operation and a formatting operation on the response candidate text data based on a content restriction rule stored in the storage device to produce output text data;
• and
• transmitting the output text data to a terminal device via the communication interface.