publication . Conference object . Research . Part of book or chapter of book . 2008

Text mining of supreme administrative court jurisdictions

Ingo Feinerer; Hornik, K.;
  • Published: 01 Jan 2008
  • Country: Austria
Abstract
Within the last decade text mining, i.e., extracting sensitive information from text corpora, has become a major factor in business intelligence. The automated textual analysis of law corpora is highly valuable because of its impact on a company's legal options and the raw amount of available jurisdiction. The study of supreme court jurisdiction and international law corpora is equally important due to its effects on business sectors. In this paper we use text mining methods to investigate Austrian supreme administrative court jurisdictions concerning dues and taxes. We analyze the law corpora using R with the new text mining package tm. Applications include clu...
Subjects
ACM Computing Classification System: ComputingMilieux_LEGALASPECTSOFCOMPUTINGComputingMethodologies_DOCUMENTANDTEXTPROCESSING
free text keywords: RVK ST 680, text mining / law / supreme administrative court, Administrative law, Administrative court, Political science, Law, Supreme court, Business intelligence, business.industry, business, International law, Text corpus, Business sector, Jurisdiction
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publication . Conference object . Research . Part of book or chapter of book . 2008

Text mining of supreme administrative court jurisdictions

Ingo Feinerer; Hornik, K.;