Text Mining of Supreme Administrative Court Jurisdictions

@inproceedings{Feinerer2007TextMO,
  title={Text Mining of Supreme Administrative Court Jurisdictions},
  author={Ingo Feinerer and Kurt Hornik},
  booktitle={GfKl},
  year={2007}
}
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. 
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11 Citations
Background Citations
3
Methods Citations
5

11 Citations

Citation Type

Citation Type

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A new paradigm "bags of terms and law references" instead of "bag of words" is introduced by generating attributes using a law domain thesaurus to detect legal terms and using regular expressions to detect law references.
Clustering and Categorization of Brazilian Portuguese Legal Documents
TLDR
A new paradigm "bags of terms and law references" instead of "bag of words" is introduced by generating attributes using a law domain thesaurus to detect legal terms and using regular expressions to detect law references.
Mining Infrastructure in R
TLDR
The tm package is presented which provides a framework for text mining applications within R and techniques for count-based analysis methods, text clustering, text classification and string kernels are presented.
verBERT: Automating Brazilian Case Law Document Multi-label Categorization Using BERT
  • Felipe R. Serras, M. Finger
  • Computer Science
    Anais do XIII Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana (STIL 2021)
  • 2021
TLDR
This work implemented a multi-class and multi-label version of BERT and fine-tuned different BERT models with the produced datasets, adopting the micro-averaged F1-Score as their main metric.
ePubWU Institutional Repository
TLDR
How the SPECIAL consent and compliance framework can be integrated into Linked Widgets, a mashup platform, in order to support privacy-aware ad-hoc integration of personal data and show the potential of the approach for ex-ante usage policy compliance checking within the Linkedwidgets Platforms and beyond.
Using Word Mining to Investigate Examination Malpractice: A Preliminary Study
This paper is coined based on students’ hidden fast track to obtain high scores during examination. The concept strictly depends on matrix algebra and regression model to detect…
ePubWU Institutional Repository
This study examines the extent to which principal-principal agency conflicts within venture capital (VC) syndicates lead to additional principal-agent conflicts in IPO firms in two institutional…
ePubWU Institutional Repository
We compare the predictive ability of Bayesian methods which deal simultaneously with model uncertainty and correlated regressors in the framework of cross-country growth regressions. In particular,…
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