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| Acadêmico(a): Marco Aurélio Beber |
| Título: Sistema de Monitoramento de Redes Sociais Digitais utilizando Redes Neurais Artificiais |
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| Abstract: |
| This paper presents the specification and development of a system capable of obtain publications from digital social networks and filter them according to the user's interests through an artificial neural network. For the system development was used the Node.js platform, JavaScript programming language, Backbone.js framework and MongoDB database. The result was a real time content filter system for digital social networks that respects each user's needs |
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