This whitepaper highlights exciting new findings from recent experiments investigating the prioritization of customer verbatim texts uncovered through machine learning. It discusses the power of integrating customers' own words into your machine learning research, and illustrates how this method can uncover in-depth, segment-specific insights. The approach can be applied to achieve many different research objectives and allows researchers to uncover even better data than ever before.
