System and method for determining and processing user temperament

A system for determining user temperament comprising:

• at least one processor;
• a communication interface communicatively coupled to the at least one processor;
• and
• a memory device storing executable code that, when executed, causes the at least one processor to:
• (a′) train an algorithm, via machine learning and using a set of training data, the algorithm configured to determine user temperament, the training comprising:
• (i) iteratively predicting a ranking of the user temperament, based on the set of training data, the set of training data comprising volume data, content data, inflection data, and pitch data;
• (ii) testing and comparing the ranking of the user temperament predicted during each iteration against a target variable;
• and
• (iii) indicating, via a feedback loop, for each iteration whether modifications to weights assigned to certain training data are necessary to improve predictability of the ranking of the user temperament.

A method for determining and processing user temperament, the method comprising:

• (a′) training an algorithm, via machine learning and using a set of training data, the algorithm configured to determine user temperament, the training comprising:
• (i) iteratively predicting a ranking of the user temperament, based on the set of training data, the set of training data comprising volume data, content data, inflection data, pitch data, or a combination thereof;
• (ii) testing and comparing the ranking of the user temperament predicted during each iteration against a target variable;
• and
• (iii) indicating, via a feedback loop, for each iteration whether modifications to weights assigned to certain training data are necessary to improve predictability of the ranking of the user temperament.