Following the increased implementation of the Positive Energy Districts (PEDs) in line with European Union plans to accelerate transition to sustainable, renewable energy system, it is pertinent for stakeholders to have common defining framework to facilitate seamless replication and harness the full potentials of this innovative concept to achieve the energy transition objectives. This study looks at the common features and characterizes the PED concept using text data from (1) online sources about various PED projects at different stages of implementation and, (2) Portable Document Format (PDF) files containing project specific information. The study utilizes text mining and topic modelling methods of Latent Dirichlet Allocation (LDA) and Non-Negative Matrix Factorization (NMF) to identify latent topics in the PED concept. The study revealed six latent topics (a) social development, (b) environment and technologies, (c) implementation, (d) research, (e) event participation, and (f) other social aspects that can be consolidated into the reference framework and offering valuable resource for researchers, policymakers, and urban planners working on PED related initiatives.