Discovery of new materials in energy application has drawn attention of the scientist in last few years. Hence, still there are promising existent materials with unknown capabilities. Extracting regarded materials, requires enormous amount of effort and time, to go through millions of literature. Advancements in Natural Language Processing algorithms made it feasible to obtain embedded data in literature in unsupervised manners. Superconductivity has been the focus of enormous research effort since its discovery more than a century ago. Yet, some features of this unique phenomenon remain poorly understood; prime among these is the connection between superconductivity and chemical/structural properties of materials.