Using word embedding for environmental violation analysis: Evidence from Pennsylvania unconventional oil and gas compliance reports
This work addresses environmental and public health concerns for regulators and communities affected by oil and gas operations, but it is incremental as it applies existing text mining methods to a new dataset.
The study tackled the problem of understanding environmental violations in the unconventional oil and gas industry by applying text mining to 6,057 compliance reports from Pennsylvania (2008-2018), revealing insights into the underlying mechanisms of these violations.
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.