publication . Research . Conference object . Part of book or chapter of book . 2007

Text Mining of Supreme Administrative Court Jurisdictions

Ingo Feinerer; Kurt Hornik;
Open Access English
  • Published: 01 Jan 2007
  • Publisher: Department of Statistics and Mathematics, WU Vienna University of Economics and Business
  • 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...
Persistent Identifiers
Subjects
ACM Computing Classification System: ComputingMilieux_LEGALASPECTSOFCOMPUTINGComputingMethodologies_DOCUMENTANDTEXTPROCESSING
free text keywords: RVK ST 680, text mining / law / supreme administrative court, Administrative court, Supreme court, Business intelligence, business.industry, business, Administrative law, Text corpus, Law, Political science, Business sector, International law, Jurisdiction
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