New paper out in Concurrency and Computation: Practice and Experience! We explored how LLMs can help public authorities analyse citizen feedback more efficiently.

Using survey data from East Bristol's liveable neighbourhood initiative, we found sentiment classification achieved >90% accuracy, and LLMs outperformed traditional summarisation methods.

Open access:

https://doi.org/10.1002/cpe.70547

#SmartCities #LLM #MachineLearning #UrbanPlanning #OpenAccess #CitizenScience