Government analysts and policy makers have failed to fully utilize consumer behavior data in decisions related to EV charging infrastructure. This is because a large share of EV data is unstructured text, which presents challenges for data discovery. In this article, we deploy advances in transformer-based deep learning to discover issues in a nationally representative sample of EV user reviews. We describe applications for public policy analysis and find evidence that less populated areas could be underserved in station availability.