Conducting sparse feature selection on arbitrarily long phrases in text corpora with a focus on interpretability

no code implementations • 20 Nov 2015 • Luke Miratrix, Robin Ackerman

We propose a general framework for topic-specific summarization of large text corpora, and illustrate how it can be used for analysis in two quite different contexts: an OSHA database of fatality and catastrophe reports (to facilitate surveillance for patterns in circumstances leading to injury or death) and legal decisions on workers' compensation claims (to explore relevant case law).

feature selection