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- URN to cite this document:
- urn:nbn:de:bvb:355-epub-532365
- DOI to cite this document:
- 10.5283/epub.53236
Abstract
Quantitative approaches are gaining popularity in German legal research. The analysis of large corpora of legal text may be supported by text mining methods. In this study, we employ topic modeling—which aims at retrieving the “topics” of a corpus—to identify words related to certain areas of law present in the case law of the German Federal Constitutional Court (FCC). This information is then ...

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