Education hubs in Qatar and the United Arab Emirates: Analysis of discursive constructions using Latent Dirichlet Allocation

Abstract

Advanced techniques for linguistic analysis provide the opportunity to extract meanings from the available documents on education hubs. We use Latent Dirichlet Allocation (LDA), a topic modelling method for natural language processing and big data mining, to analyze the discourse of education hubs in Qatar and the United Arab Emirates (UAE). Our data derive from a corpus of academic literature, non-peer-reviewed articles, and policy documents. The analysis shows that education hubs have been at the core of efforts to transition from a hydrocarbon-based economy to a knowledge economy. The analysis also shows that education hubs have been increasingly associated with the two countries’ efforts to achieve regional leadership in overlapping geopolitical spheres of influence. Describing the situation as a ‘constructive rivalry’, we highlight its geopolitical implications and we call attention to Knight, (2022) knowledge diplomacy whereby the two countries can use education hubs as a mechanism for exercising leadership in promoting peace and development in the broader region of the Middle East.c.