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Using word embedding for environmental violation analysis: Evidence from Pennsylvania unconventional oil and gas compliance reports

Computers and Society 2021-12-03 v1 Machine Learning

Abstract

With the booming of the unconventional oil and gas industry, its inevitable damage to the environment and human health has attracted public attention. We applied text mining on a total 6057 the type of Environmental Health and Safety compliance reports from 2008 to 2018 lunched by the Department of Environmental Protection in Pennsylvania, USA, to discover the intern mechanism of environmental violations.

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Cite

@article{arxiv.2112.01224,
  title  = {Using word embedding for environmental violation analysis: Evidence from Pennsylvania unconventional oil and gas compliance reports},
  author = {Dan Bi and Ju-e Guo and Erlong Zhao and Shaolong Sun and Shouyang Wang},
  journal= {arXiv preprint arXiv:2112.01224},
  year   = {2021}
}

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23 pages