Utilizando text mining na taxonomia processual
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Tipo de documento: | Trabalho de conclusão de curso |
Idioma: | por |
Título da fonte: | Biblioteca Digital de Monografias da UnB |
Texto Completo: | http://bdm.unb.br/handle/10483/21587 |
Resumo: | Trabalho de Conclusão de Curso (graduação)—Universidade de Brasília, Faculdade UnB Gama, 2018. |
id |
UNB-2_0aeb85bd8b8a046ffb1e755d23d4bae5 |
---|---|
oai_identifier_str |
oai:bdm.unb.br:10483/21587 |
network_acronym_str |
UNB-2 |
network_name_str |
Biblioteca Digital de Monografias da UnB |
repository_id_str |
11571 |
spelling |
Coelho, Gustavo RodriguesChaim, Ricardo MatosCOELHO, Gustavo Rodrigues. Utilizando text mining na taxonomia processual. 2018. 43 f., il. Trabalho de Conclusão de Curso (Bacharelado em Engenharia de Software)—Universidade de Brasília, Brasília, 2018.http://bdm.unb.br/handle/10483/21587Trabalho de Conclusão de Curso (graduação)—Universidade de Brasília, Faculdade UnB Gama, 2018.O trabalho apresenta uma avaliação de métodos supervisionados de classificação utilizando como entrada processos judiciais. O sistema judicial brasileiro recebe milhões de processos por ano, que possuem uma variedade de informações que interessam diversos atores inclusive o poder executivo. A tarefa de classificar esses processos para análise em pesquisas específicas é uma tarefa hercúlea sendo uma grande oportunidade para o uso de algoritmos inteligentes. O trabalho utilizou os algoritmos knn e naive bayses para classificar os processos judiciais e avaliou a performance dos dois algoritmos. O trabalho resultou em valores adequados para os dois algoritmos podendo os dois serem usados para a classificação de processos judiciais.Submitted by Luanna Maia (luanna@bce.unb.br) on 2019-03-07T14:00:54Z No. of bitstreams: 3 license_text: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) 2018_GustavoRodriguesCoelho_tcc.pdf: 1518757 bytes, checksum: cab9d9e7365edfb34255374f9def9130 (MD5)Approved for entry into archive by Luanna Maia (luanna@bce.unb.br) on 2019-03-07T14:01:09Z (GMT) No. of bitstreams: 3 license_text: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) 2018_GustavoRodriguesCoelho_tcc.pdf: 1518757 bytes, checksum: cab9d9e7365edfb34255374f9def9130 (MD5)Made available in DSpace on 2019-03-07T14:01:09Z (GMT). No. of bitstreams: 3 license_text: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) 2018_GustavoRodriguesCoelho_tcc.pdf: 1518757 bytes, checksum: cab9d9e7365edfb34255374f9def9130 (MD5)The paper presents an evaluation of supervised learning methods of classification using as input lawsuits. The Brazilian judicial system receives millions of cases per year, which have a variety of information that interests research papaer and stakeholders including the executive power. The task of classifying these processes for analysis in specific searches is a Herculean task being a great opportunity for the use of intelligent algorithms. The work utilized the knn and naive bayses algorithms to classify the judicial processes and evaluated the performance of the two algorithms. The work resulted in adequate values for the two algorithms, both of which can be used to classify lawsuits.Algoritmos de computadorUtilizando text mining na taxonomia processualinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bachelorThesis2019-03-07T14:01:09Z2019-03-07T14:01:09Z2018-07-01info:eu-repo/semantics/openAccessporreponame:Biblioteca Digital de Monografias da UnBinstname:Universidade de Brasília (UnB)instacron:UNBLICENSElicense.txtlicense.txttext/plain1817http://bdm.unb.br/xmlui/bitstream/10483/21587/5/license.txt21554873e56ad8ddc69c092699b98f95MD55CC-LICENSElicense_urllicense_urltext/plain49http://bdm.unb.br/xmlui/bitstream/10483/21587/2/license_url4afdbb8c545fd630ea7db775da747b2fMD52license_textlicense_textapplication/octet-stream0http://bdm.unb.br/xmlui/bitstream/10483/21587/3/license_textd41d8cd98f00b204e9800998ecf8427eMD53license_rdflicense_rdfapplication/octet-stream0http://bdm.unb.br/xmlui/bitstream/10483/21587/4/license_rdfd41d8cd98f00b204e9800998ecf8427eMD54ORIGINAL2018_GustavoRodriguesCoelho_tcc.pdf2018_GustavoRodriguesCoelho_tcc.pdfapplication/pdf1518757http://bdm.unb.br/xmlui/bitstream/10483/21587/1/2018_GustavoRodriguesCoelho_tcc.pdfcab9d9e7365edfb34255374f9def9130MD5110483/215872019-03-07 11:01:09.854oai:bdm.unb.br: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Biblioteca Digital de Monografiahttps://bdm.unb.br/PUBhttp://bdm.unb.br/oai/requestbdm@bce.unb.br||patricia@bce.unb.bropendoar:115712019-03-07T14:01:09Biblioteca Digital de Monografias da UnB - Universidade de Brasília (UnB)false |
dc.title.pt_BR.fl_str_mv |
Utilizando text mining na taxonomia processual |
title |
Utilizando text mining na taxonomia processual |
spellingShingle |
Utilizando text mining na taxonomia processual Coelho, Gustavo Rodrigues Algoritmos de computador |
title_short |
Utilizando text mining na taxonomia processual |
title_full |
Utilizando text mining na taxonomia processual |
title_fullStr |
Utilizando text mining na taxonomia processual |
title_full_unstemmed |
Utilizando text mining na taxonomia processual |
title_sort |
Utilizando text mining na taxonomia processual |
author |
Coelho, Gustavo Rodrigues |
author_facet |
Coelho, Gustavo Rodrigues |
author_role |
author |
dc.contributor.author.fl_str_mv |
Coelho, Gustavo Rodrigues |
dc.contributor.advisor1.fl_str_mv |
Chaim, Ricardo Matos |
contributor_str_mv |
Chaim, Ricardo Matos |
dc.subject.keyword.pt_BR.fl_str_mv |
Algoritmos de computador |
topic |
Algoritmos de computador |
description |
Trabalho de Conclusão de Curso (graduação)—Universidade de Brasília, Faculdade UnB Gama, 2018. |
publishDate |
2018 |
dc.date.submitted.none.fl_str_mv |
2018-07-01 |
dc.date.accessioned.fl_str_mv |
2019-03-07T14:01:09Z |
dc.date.available.fl_str_mv |
2019-03-07T14:01:09Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/bachelorThesis |
format |
bachelorThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
COELHO, Gustavo Rodrigues. Utilizando text mining na taxonomia processual. 2018. 43 f., il. Trabalho de Conclusão de Curso (Bacharelado em Engenharia de Software)—Universidade de Brasília, Brasília, 2018. |
dc.identifier.uri.fl_str_mv |
http://bdm.unb.br/handle/10483/21587 |
identifier_str_mv |
COELHO, Gustavo Rodrigues. Utilizando text mining na taxonomia processual. 2018. 43 f., il. Trabalho de Conclusão de Curso (Bacharelado em Engenharia de Software)—Universidade de Brasília, Brasília, 2018. |
url |
http://bdm.unb.br/handle/10483/21587 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Biblioteca Digital de Monografias da UnB instname:Universidade de Brasília (UnB) instacron:UNB |
instname_str |
Universidade de Brasília (UnB) |
instacron_str |
UNB |
institution |
UNB |
reponame_str |
Biblioteca Digital de Monografias da UnB |
collection |
Biblioteca Digital de Monografias da UnB |
bitstream.url.fl_str_mv |
http://bdm.unb.br/xmlui/bitstream/10483/21587/5/license.txt http://bdm.unb.br/xmlui/bitstream/10483/21587/2/license_url http://bdm.unb.br/xmlui/bitstream/10483/21587/3/license_text http://bdm.unb.br/xmlui/bitstream/10483/21587/4/license_rdf http://bdm.unb.br/xmlui/bitstream/10483/21587/1/2018_GustavoRodriguesCoelho_tcc.pdf |
bitstream.checksum.fl_str_mv |
21554873e56ad8ddc69c092699b98f95 4afdbb8c545fd630ea7db775da747b2f d41d8cd98f00b204e9800998ecf8427e d41d8cd98f00b204e9800998ecf8427e cab9d9e7365edfb34255374f9def9130 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Biblioteca Digital de Monografias da UnB - Universidade de Brasília (UnB) |
repository.mail.fl_str_mv |
bdm@bce.unb.br||patricia@bce.unb.br |
_version_ |
1801493078428614656 |