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Metodologias de estatística textual:
Metodologias de estatística textual:
•Processos estatísticos.
–Estatística
descritiva: contagens, médias, percentagens;
–Cálculo
da norma e desvio padrão;
–Estatística
inferencial: (https://estudogeral.sib.uc.pt/bitstream/10316/9961/1/AP200501.pdf
):
•Análise
multifatorial (http://glass.ed.asu.edu/stats/ ;
http://www.scienceops.com/Statistics.asp?sID=151;
http://training.creascience.com/)
•Análise
de Clusters (http://www-users.cs.umn.edu/~kumar/dmbook/ch8.pdf; http://en.wikipedia.org/wiki/Cluster_analysis; ;
•Análise textual.
–Análise
de conteúdo (http://writing.colostate.edu/guides/page.cfm?pageid=1308); http://www.qualitative-research.net/index.php/fqs/article/view/1089/2386; http://academic.csuohio.edu/kneuendorf/content/resources/TOC.htm
–(e
direito): http://www.bgss.hu-berlin.de/bgssonlinepublications/Workshop%20Docu/advocatesornotariesofdemocracyfolder/paper3neu; Systematic Content
Analysis of Judicial Opinions: http://works.bepress.com/ronald_wright/1/
–Estatística
textual: http://www.persee.fr/web/revues/home/prescript/article/pop_0032-4663_1998_hos_10_1_6823; Automatic Detection
of Arguments in Legal Texts:
http://www.arg.dundee.ac.uk/people/chris/publications/2007/icail2007.pdf
•Reconhecimento de
padrões: http://cgm.cs.mcgill.ca/~godfried/teaching/pr-web.html;
–Neuronal
networks: http://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4/cs11/report.html
–E
direito: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5760222&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5760222; The uses and abuses
of neural networks in law: http://docs.happycoders.org/orgadoc/artifical_intelligence/neural_networks/law.html;AMH,Os juristas que se cuidem
… Dez anos de inteligência artificial edireito: https://docs.google.com/file/d/0BxG11aEdnDQ2ZzdFOHlBQlNJbGc/edit?usp=sharing .Muito bom em recursos:
http://cgm.cs.mcgill.ca/~godfried/teaching/pr-web.html
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