Topic classification of electric vehicle consumer experiences with transformer-based deep learning
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.
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