This paper introduces the first application of data science to the UK Honours system. We present a comprehensive Natural Language Processing methodology for evaluating public sentiment of Honours recipients. In order to form an opinion about applicants for the UK King’s Honours, we have evaluated two existing sentiment algorithms (Afinn, Vader) and then created our own novel algorithm (Minos). The promising results in this work indicate that this system can be used to augment human evaluation to better judge whether a current or future recipient has maintained the high standards of conduct demanded to retain an Honour. Our novel approach is generalisable to any individual with a sufficient internet footprint and has applications in many fields including recruitment, national security and investigative journalism.