Feedback control for automated messaging adjustments

A system comprising:

• a processor;
• and
• a non-transitory computer-readable medium in communication with the processor and storing instructions that, when executed by the processor, cause the processor to perform processing comprising:
• receiving text data;
• generating a quantified representation of the text data by processing the text data using at least one natural language processing (NLP) algorithm, the quantified representation of the text data indicating a sentiment of content of the text data;
• and
• automatically revising the content of the text data, the revising comprising:
• determining a reaction to the content of the text data;
• generating a quantified representation of the reaction;
• determining a difference between the quantified representation of the reaction and the quantified representation of the text data;
• identifying, based on the difference, a portion of the content having an unintended sentiment;
• and
• replacing the portion of the content with different content, the replacing comprising inserting the text data including the different content within a user interface to thereby automatically adjust a sentiment associated with the user interface.

A method comprising:

• receiving, by a processor, communications data;
• generating, by the processor, a quantified representation of the communications data by processing the communications data using at least one machine learning (ML) algorithm, the quantified representation of the communications data indicating a sentiment of content of the communications data;
• and
• automatically revising, by the processor, the content of the communications data, the revising comprising:
• determining a reaction to the content of the communications data;
• generating a quantified representation of the reaction;
• determining a difference between the quantified representation of the reaction and the quantified representation of the communications data;
• identifying, based on the difference, a portion of the content having an unintended sentiment;
• and
• replacing the portion of the content with different content, the replacing comprising inserting the text data including the different content within a user interface to thereby automatically adjust a sentiment associated with the user interface.