System

A system comprising:

• circuitry configured to:
• receive, via a packet-switched network, character string data from a first terminal device;
• perform character string normalization processing on the character string data and segment the normalized character string data into a sequence of token elements using a natural language processing technique;
• convert the token elements into numerical vector representations and execute a forward inference pass using a transformer-based neural network classifier comprising a plurality of self-attention layers and a classification output layer to compute a classification score value and determine a classification level;
• execute an emotion classification operation on the character string data using an emotion identification neural network to produce emotion type information and a confidence value;
• construct an instruction sequence for a generative neural network model by concatenating a directive text portion, content derived from the character string data, the classification score value, a classification reason derived from attention weight distributions, and the emotion type information;
• transmit the instruction sequence to an information processing apparatus hosting the generative neural network model via the packet-switched network and receive alternative output data and condensed output data from the generative neural network model;
• re-execute the forward inference pass on the alternative output data and the condensed output data to compute updated classification score values and, when at least one updated classification score value exceeds a predetermined threshold, retransmit a modified instruction sequence to the information processing apparatus to obtain regenerated output data;
• generate a structured notification record comprising the classification score value, the alternative output data, and screen control data, and transmit the structured notification record to the first terminal device;
• associate identification data with the character string data and generate presentation control data specifying an initial rendering state for a second terminal device;
• and
• transmit the presentation control data and the condensed output data to the second terminal device via the packet-switched network to cause the second terminal device to suppress rendering of the character string data and render the condensed output data, and to reveal the character string data only in response to an explicit display instruction from a recipient.

A method comprising:

• receiving, via a packet-switched network, character string data from a first terminal device;
• segmenting the character string data into a sequence of token elements using a natural language processing technique and converting the token elements into numerical vector representations;
• executing a forward inference pass on the numerical vector representations using a transformer-based neural network classifier comprising a plurality of self-attention layers and a classification output layer to compute a classification score value indicating a degree to which the character string data matches a predetermined classification criterion;
• comparing the classification score value with a stored threshold value and, when the classification score value exceeds the stored threshold value, constructing an instruction sequence for a generative neural network model by concatenating at least a directive text portion, content derived from the character string data, and the classification score value into a structured prompt;
• transmitting the structured prompt via the packet-switched network to an information processing apparatus hosting the generative neural network model and receiving, from the information processing apparatus, alternative output data generated by the generative neural network model in response to the structured prompt;
• generating a structured notification record comprising the classification score value and the alternative output data and transmitting the structured notification record to the first terminal device to cause the first terminal device to render the alternative output data on a display thereof;
• receiving, from the first terminal device, revised character string data and iteratively re-executing the forward inference pass and the construction of the instruction sequence for the revised character string data until the classification score value satisfies a predetermined condition;
• and
• associating identification data with the character string data and generating presentation control data specifying a rendering state for a second terminal device, and transmitting the presentation control data to the second terminal device via the packet-switched network to cause the second terminal device to suppress rendering of at least a portion of the character string data and to render the alternative output data in place thereof.