Comparing an Expert-based Study with a Bibliometric and LDA Analysis to Support Roadmapping

This study aims to compare the convergence between a qualitative expert-based analysis developed within a roadmapping project and a quantitative-based analysis using bibliometric techniques. It addressed articles selected by 31 international experts in a roadmapping project commissioned by an organization focused on young people's mental health. The experts selected pertinent articles to support the roadmapping strategic landscape. In total, 209 references were analyzed using bibliometric techniques, topic modeling, and Latent Dirichlet Allocation (LDA). Most of the results from the expert analysis converged with the bibliometric study, with some additions coming from the quantitative analysis. This study shows that a quantitative approach, based on data mining techniques, can provide a starting point and enhance the discussion necessary for creating technology roadmaps by confirming or providing a different perspective than the ones obtained from workshops with specialists.