EPUB	WORKING PAPERS	DISSERTATIONS

back | new search | print Feinerer, Ingo; Hornik, Kurt: Text Mining of Supreme Administrative Court Jurisdictions Research Report Series / Department of Statistics and Mathematics, Nr. 51, March 2007 Department of Statistics and Mathematics , Wirtschaftsuniversität Wien, Augasse 2-6, A-1090 Wien, Austria, 2007 Holdings from the WU library catalog | document ID: oai:epub.wu-wien.ac.at:epub-wu-01_bad Download document 6 pages/184 kB © Copyright notice  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 clustering the jurisdiction documents into groups modeling tax classes (like income or value-added tax) and identifying jurisdiction properties. The findings are compared to results obtained by law experts. (author's abstract)  Keywords: text mining / law / supreme administrative court © 2009 University Library and Institute for Information Business, Vienna University of Economics and Business | Thu Sep 2 19:27:53 2010