Strategic opportunities in mining using text analytics

This paper studies a system composed of metallic and non-metallic mineral extracting companies, logistic suppliers, public agencies, and a trade association providing services. The strategic texts of the system are analyzed with the multicriteria of the macro-environment of the mining industry economic, technological, social, and environmental, with Latent Dirichlet Allocation (LDA) modeling and with Kmeans, to determine the topics and strategic words that could characterize it with a digital business ecosystem. The results show the presence/absence of critical factors that increase the level of competitiveness and sustainability.