KJR was engaged to design and implement a solution for classifying large volumes of scientific documentation to improve document visibility and availability for wider use. Utilising the AWS technology stack KJR achieved this through the development of a Natural language Processing classification model, that classifies scientific text topics.

The project approach was divided into the below project phases:

1. AWS (AMAZON WEB SERVICES) BUILD AND TOOL CONSUMPTION 
2. MODEL CREATION, ACCURACY & TIME SAVED
3. DETERMINING SUCCESS WHERE NO GROUND TRUTH EXISTS- HUMAN IN THE LOOP

Read the downloadable 3-part case study attached at the top of this page for full details.