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| Acadêmico(a): Klauber Scheffler Fischer |
| Título: Aplicativo para Empresa de Help Desk Baseado em Gestão do Conhecimento utilizando a Técnica de Mineração de Texto |
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| Abstract: |
| This work aims to present an application to help the support sector of a company. The application enables users to create a database of known incidents and their solutions. Through techniques and rules, the application enables the search for solutions through text mining, presenting the results effectively, facilitating the decision of the users. For system development, was used Java programming language, the Eclipse IDE also the framework for developing web interface Google Web Tools, the LingPipe framework to support computational linguistics and the Hibernate database. Using the application resulted in the ability to manage incidents and their solutions, making the work process more effectively to the users and resulting in improved customer services. |
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