Abstract: A computer-implemented process is programmed to programmatically receive at a first computer a digital electronic object including a source text that is directed to a target audience and that was composed at a second computer, determine a style value specifying a particular communication style from among different communication styles based on a communication profile of the target audience, evaluate the source text using a trained machine-learning model, receive a classification output from the machine-learning model, generate an output set of suggested edits to the source text based on comparing the classification output to the source text, and transmit the output set of suggested edits to the second computer. The classification output from the machine-learning model includes a modified text based on the source text. The modified text has been classified using the particular communication style specified in the style value.

Abstract: A computer-implemented process is programmed to programmatically receive at a first computer a digital electronic object including a source text that is directed to a target audience and that was composed at a second computer, determine a style value specifying a particular communication style from among different communication styles based on a communication profile of the target audience, evaluate the source text using a trained machine-learning model, receive a classification output from the machine-learning model, generate an output set of suggested edits to the source text based on comparing the classification output to the source text, and transmit the output set of suggested edits to the second computer. The classification output from the machine-learning model includes a modified text based on the source text. The modified text has been classified using the particular communication style specified in the style value.