Optimising human inspection work in automated verbatim coding

Abstract

Automatic verbatim coding technology is essential in many contexts in which, either because of the sheer size of the dataset we need to code, or because of demanding time constraints, or because of cost-effectiveness issues, manual coding is not a viable option. However, in some of these contexts the accuracy standards imposed by the customer may be too high for today's automated verbatim coding technology; this means that human coders may need to devote some time to inspecting (and correcting where appropriate) the most problematic autocoded verbatims, with the goal of increasing the accuracy of the coded set. We discuss a software tool for optimising the human coders’ work, i.e. a tool that minimises the amount of human inspection required to reduce the overall error down to a desired level, or that (equivalently) maximises the reduction in the overall error achieved for an available amount of human inspection work.

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