Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/240806 
Erscheinungsjahr: 
2020
Schriftenreihe/Nr.: 
Texto para Discussão No. 2612
Verlag: 
Instituto de Pesquisa Econômica Aplicada (IPEA), Brasília
Zusammenfassung (übersetzt): 
This paper investigated the usage of artificial intelligence and text mining techniques for classification of court judgments and discussed potential alternative applications in formulation and evaluation of public policies. Besides, we built a survey of studies related to Jurimetry based on the specialized scientific literature and detailed the operationalization of the of textual data treatment, as well as basic concepts and methods of text mining. Finally, we performed an empirical analysis of classification of legal texts into four categories using real data from the Brazilian 2nd Federal Regional Court collected by IpeaJus, the database about the Brazilian Justice System from Ipea, discussing the results in light of various quantitative evaluation metrics and prospects for future developments in different contexts.
Schlagwörter: 
natural language processing
document classification
legal proceedings
jurimetry
Big Data
JEL: 
C55
C44
O33
C63
K40
C81
Persistent Identifier der Erstveröffentlichung: 
Dokumentart: 
Working Paper

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