Machine learning models often claim to predict rules by analysing large volumes of quantitative data as inputs for statistical regression. This is empirical analysis to an extreme which often risks omitting nuances and extraneous data created from hard to measure factors like human behaviours. This poster presents a peer-reviewed multi-modal method of validating large-volume lexical data using mixed qualitative analysis methods.