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  1. Na era das máquinas, o emprego é de quem?
    estimação da probabilidade de automação de ocupações no Brasil
    Author: Albuquerque, Pedro H.; Saavedra, Cayan Atreio Portela Bárcena; Morais, Rafael Lima de; Alves, Patrick Franco; Peng, Yaohao
    Published: março de 2019
    Publisher:  Instituto de Pesquisa Econômica Aplicada, Brasília

    This work aimed to reproduce the methodology of Carl Benedikt Frey and Michael Osborne of 2017 for estimating the automation probabilities of occupations in Brazil. These estimates are potentially important for professionals and policymakers because... more

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    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 194
    Inter-library loan:
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    This work aimed to reproduce the methodology of Carl Benedikt Frey and Michael Osborne of 2017 for estimating the automation probabilities of occupations in Brazil. These estimates are potentially important for professionals and policymakers because they can guide the career of a worker, as well as define priority courses that educational institutions should offer in order to maximize employment opportunities in the country. We consulted the opinion of 69 scholars and professionals that are experts in machine learning to ground the estimation the automation probability of Brazilian occupations. The findings indicate that a large part of the occupations can be automated in the next years. In addition, it can be seen that these professions with a higher risk of automation show a trend of growth over time, which may result in a high level of unemployment in the coming years if professionals and the government do not prepare for this scenario.

     
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    Source: Union catalogues
    Language: Portuguese
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/211408
    Series: Texto para discussão / Ipea ; 2457
    Subjects: automation; labor market; artificial intelligence; natural language processing; technical expertise; text mining
    Scope: 1 Online-Ressource (circa 40 Seiten), Illustrationen
  2. Línguas naturais e máquinas artificiais: aplicação de técnicas de mineração de texto para a classificação de sentenças judiciais brasileiras
    Author: Gomes, Lucas Moreira; Sá, Jader Martins Camboim de; Peng, Yaohao
    Published: novembro de 2020
    Publisher:  Instituto de Pesquisa Econômica Aplicada, Brasília

    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... more

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    Resolving-System (kostenfrei)

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    DS 194
    Inter-library loan:
    No inter-library loan

     

    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.

     
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    Source: Union catalogues
    Language: Portuguese
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/240806
    Series: Texto para discussão / Ipea ; 2612
    Subjects: natural language processing; document classification; legal proceedings; jurimetry; Big Data
    Scope: 1 Online-Ressource (circa 48 Seiten), Illustrationen