Titlebook: Advances in Artificial Intelligence and Its Applications; 14th Mexican Interna Obdulia Pichardo Lagunas,Oscar Herrera Alcántara,G Conferenc

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https://doi.org/10.1007/978-3-319-22020-8nd then make their own judgment about whether to go to see the movie. In this article, we take this paradigm to evaluate Twitter as a source of information for movie recommendation. We built a balanced dataset consisting of 3036 tweets expressing opinions regarding movies. Then, we evaluated differe

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Anna M. Kirby BA,MB,BChir,MA,MRCP,FRCR,MD needs “structured data”. Following this idea, text mining appears in the horizon, as a little spent, reliable alternative. It is able to provide meaningful expert information without the availability of plenty of resources, all we need is a fair big (real big) corpus of text in order to conduct a r

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DCIS: Pathology and Molecular Markersrt action selection, motivation through emotions, a modern recommendation mechanism, and multimodal instructional and selection learning. Java Sensei architecture works with a collection of modules and processes, each with its own effective representations and algorithms. The learning system was imp

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Ductal Carcinoma In Situ: Systemic Treatmentarning Management System (LMS); (II) the Virtual Learning Environment (VLE); and (III) the Ontological Model (OM). The components were implemented as a solution for Cloud Computing. The fieldwork considered two stages: a proof of concept that is used as a benchmark and test cases where the PVLE were

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Thomas Yang,K. S. Clifford Chaohus, efficient training is mandatory. Traditional training under supervision of human instructors has proved to be successful; but it is costly and takes a long time. We need to complement traditional training with computers systems which adapt the training to particular trainee and shorten the trai