Automatic classification of takeaway food outlet cuisine type using machine (deep) learning.

ABSTRACT:

Background and purpose

Researchers have not disaggregated neighbourhood exposure to takeaway ('fast-') food outlets by cuisine type sold, which would otherwise permit examination of differential impacts on diet, obesity and related disease. This is partly due to the substantial resource challenge of manual classification of unclassified takeaway outlets at scale. We describe the development of a new model to automatically classify takeaway food outlets, by 10 major cuisine types, based on business name alone.

Material and methods

We used machine (deep) learning, and specifically a Long Short Term Memory variant of a Recurrent Neural Network, to develop a predictive model trained on labelled outlets (n = 14,145), from an online takeaway food ordering platform. We validated th

SUBMITTER: Bishop TRP 

PROVIDER: S-EPMC8700226 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature