Nov 11, 2020
Imagine a stack of paper 20,000 miles high in the centre of Whitehall. The volume of unstructured information held by government departments is vast, there are currently billions of documents held in “digital heaps” across government.
We’ve been exploring how machine learning and natural language processing technology could be applied to understand the contents of these “digital heaps”, so that policymakers can learn from previous work and KIMs (knowledge and information managers) can meet their legislative obligations.
For more detail read the case study.