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Text Mining of Supreme Administrative Court Jurisdictions

Feinerer, Ingo and Hornik, Kurt (2007) Text Mining of Supreme Administrative Court Jurisdictions. Research Report Series / Department of Statistics and Mathematics, 51. Department of Statistics and Mathematics, WU Vienna University of Economics and Business, Vienna.

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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.

Item Type: Paper
Keywords: text mining / law / supreme administrative court
Classification Codes: RVK ST 680
Divisions: Departments > Finance, Accounting and Statistics > Statistics and Mathematics
Depositing User: Repository Administrator
Date Deposited: 19 Mar 2007 23:17
Last Modified: 01 Mar 2017 19:44
URI: http://epub.wu.ac.at/id/eprint/152


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