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Non-Pharmaceutical Intervention Discovery with Topic Modeling

Computation and Language 2020-09-30 v1 Machine Learning
Authors: Jonathan Smith , Borna Ghotbi , Seungeun Yi , Mahboobeh Parsapoor
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Abstract

We consider the task of discovering categories of non-pharmaceutical interventions during the evolving COVID-19 pandemic. We explore topic modeling on two corpora with national and international scope. These models discover existing categories when compared with human intervention labels while reduced human effort needed.

Keywords

epidemiology

Cite

@article{arxiv.2009.13602,
  title  = {Non-Pharmaceutical Intervention Discovery with Topic Modeling},
  author = {Jonathan Smith and Borna Ghotbi and Seungeun Yi and Mahboobeh Parsapoor},
  journal= {arXiv preprint arXiv:2009.13602},
  year   = {2020}
}

Comments

ML for Global Health (ICML 2020 Workshop)

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