Detalhes bibliográficos
| Ano de defesa: |
2014 |
| Autor(a) principal: |
Andrade Junior, Valter Lacerda de
 |
| Orientador(a): |
Peixoto, Nelson Brissac |
| Banca de defesa: |
Não Informado pela instituição |
| Tipo de documento: |
Dissertação
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Pontifícia Universidade Católica de São Paulo
|
| Programa de Pós-Graduação: |
Programa de Estudos Pós-Graduados em Tecnologias da Inteligência e Design Digital
|
| Departamento: |
Faculdade de Ciências Exatas e Tecnologia
|
| País: |
Brasil
|
| Palavras-chave em Português: |
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| Palavras-chave em Inglês: |
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| Área do conhecimento CNPq: |
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| Link de acesso: |
https://tede2.pucsp.br/handle/handle/18150
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Resumo: |
The need for expert assessment of Data Mining in textual data fields and other unstructured information is increasingly present in the public and private sector. Through probabilistic models and analytical studies, it is possible to broaden the understanding of a particular information source. In recent years, technology progress caused exponential growth of the information produced and accessed in the virtual media (web and private). It is estimated that by 2003 humanity had historically generated a total of 5 exabytes of content; today that asset volume can be produced in a few days. With the increasing demand, this project aims to work with probabilistic models related to the financial market in order to check whether the textual data fields, or unstructured information, contained within the business environment, can predict certain customers behaviors. It is assumed that in the corporate environment and on the web, there is great valuable information that, due to the complexity and lack of structure, they are barely considered in probabilistic studies. This material may represent competitive and strategic advantage for business, so analyzing unstructured information one can acquire important data on behaviors and mode of user interaction in the environment in which it operates, providing data as to obtain psychographic profile and satisfaction degree. The corpus of this study consists of the results of experiments made in negotiating environment of a financial company in São Paulo. On the foregoing analysis, it was applied statistical bias semiotic concepts. Among the findings of this study, it is possible to get a critical review and thorough understanding of the processes of textual data assessment |
