https://hdl.handle.net/10438/14349 Sun, 21 Nov 2021 11:12:25 GMT 2021-11-21T11:12:25Z https://hdl.handle.net/10438/15036 O projeto Media Cloud Brasil: uma análise do tratamento de informações em ambientes de big data Souza, Renato Rocha; Coelho, Flávio Codeço; Gonçalves, Alexandre; Lopes, Evandro Dalbem; Santos, Elisa Mussumeci Bianor dos; Junqueira, Victor da Fonseca Machado Thu, 01 Jan 2015 00:00:00 GMT https://hdl.handle.net/10438/15036 2015-01-01T00:00:00Z https://hdl.handle.net/10438/15035 Portal semântico do CPDOC Souza, Renato Rocha; Rademaker, Alexandre; Sá, Asla Medeiros; Coelho, Flávio Codeço; Silva, Moacyr Alvim Horta Barbosa da Thu, 01 Jan 2015 00:00:00 GMT https://hdl.handle.net/10438/15035 2015-01-01T00:00:00Z https://hdl.handle.net/10438/15033 Towards an ontology for mathematical modeling with application to epidemiology Coelho, Flávio Codeço; Souza, Renato Rocha; Codeço, Claudia Torres Thu, 01 Jan 2015 00:00:00 GMT https://hdl.handle.net/10438/15033 2015-01-01T00:00:00Z https://hdl.handle.net/10438/15032 The consumer litigation industry: chasing dragon kings in lawyer-client networks Calvão, Angelo Mondaini; Paixão, Crysttian Arantes; Coelho, Flávio Codeço; Souza, Renato Rocha The community of lawyers and their clients form a scale-free bipartite network that develops naturally as the outcome of the recommendation process through which lawyers form their client base. This process is an example of preferential attachment where lawyers with more clients are more likely to be recommended to new clients. Consumer litigation is an important market for lawyers. In large consumer societies, there always a signi cant amount of consumption disputes that escalate to court. In this paper we analyze a dataset of thousands of lawsuits, reconstructing the lawyer-client network embedded in the data. Analyzing the degree distribution of this network we noticed that it follows that of a scale-free network built by preferential attachment, but for a few lawyers with much larger client base than could be expected by preferential attachment. Incidentally, most of these also gured on a list put together by the judiciary of Lawyers which openly advertised the bene ts of consumer litigation. According to the code of ethics of their profession, lawyers should not stimulate clients into litigation, but it is not strictly illegal. From a network formation point of view, this stimulation can be seen as a separate growth mechanism than preferential attachment alone. In this paper we nd that this composite growth can be detected by a simple statistical test, as simulations show that lawyers which use both mechanisms quickly become the \Dragon-Kings' of the distribution of the number of clients per lawyer. Wed, 01 Jan 2014 00:00:00 GMT https://hdl.handle.net/10438/15032 2014-01-01T00:00:00Z https://hdl.handle.net/10438/15028 Information mining and visualization of data from the Brazilian Supreme Court (STF): a case study Coelho, Flávio Codeço; Chada, Daniel de Magalhães; Cerdeira, Pablo de Camargo Thu, 01 Jan 2015 00:00:00 GMT https://hdl.handle.net/10438/15028 2015-01-01T00:00:00Z https://hdl.handle.net/10438/15027 Fundamentos em processamento de linguagem natural: uma proposta para extração de bigramas Silva, Edson Marchetti da; Souza, Renato Rocha É senso comum que o texto escrito é uma importante forma de registrar as informações e que atualmente grande parte desse conteúdo informacional está disponível em meio digital. Entretanto, de maneira geral, os computadores lidam com o texto como sendo uma cadeia de caracteres que não têm nenhum significado. A área de Processamento de Linguagem Natural (PLN) vem se empenhando em extrair significados do texto. Nesse sentido este trabalho apresenta uma revisão desse tema e propõe um método automatizado que utiliza uma heurística determinística denominada Heudet que visa extrair bigramas do texto. A meta é extrair o significado do texto através de um conjunto de expressões multipalavras identificadas. Os resultados obtidos foram melhores se comparados com aqueles que utilizam-se das técnicas de medidas de associação estatística obtidas pelo software Ngram Statistics Package (NSP). Wed, 01 Jan 2014 00:00:00 GMT https://hdl.handle.net/10438/15027 2014-01-01T00:00:00Z