Systems and methods for optimizing competency alignment using high-dimensional embedding centrality with prominence index

Abstract

A system is configured to: (a) provide a deep learning model; (b) receive a concept, the concept including text; (c) determine a word embedding representing the concept using the deep learning model; (d) determine a centroid for the concept, the centroid representing an average position of concept characteristics in a high-dimensional word embeddings space; (e) determine Euclidean distances for each of the concept characteristics; (f) determine cosine similarities for each of the concept characteristics; (g) determine a prominence index for each of the concept characteristics based on the determined Euclidean distances and the determined cosine similarities; and (h) provide, to a client device, a ranking of the concept characteristics based on the prominence index.