881 resultados para Opinion retrieval, mining and summarization framework
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We present new tools for the segmentation and analysis of musical scores in the OpenMusic computer-aided composition environment. A modular object-oriented framework enables the creation of segmentations on score objects and the implementation of automatic or semi-automatic analysis processes. The analyses can be performed and displayed thanks to customizable classes and callbacks. Concrete examples are given, in particular with the implementation of a semi-automatic harmonic analysis system and a framework for rhythmic transcription.
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Actualmente existe una gran cantidad de empresas ofreciendo servicios para el análisis de contenido y minería de datos de las redes sociales con el objetivo de realizar análisis de opiniones y gestión de la reputación. Un alto porcentaje de pequeñas y medianas empresas (pymes) ofrecen soluciones específicas a un sector o dominio industrial. Sin embargo, la adquisición de la necesaria tecnología básica para ofrecer tales servicios es demasiado compleja y constituye un sobrecoste demasiado alto para sus limitados recursos. El objetivo del proyecto europeo OpeNER es la reutilización y desarrollo de componentes y recursos para el procesamiento lingüístico que proporcione la tecnología necesaria para su uso industrial y/o académico.
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Climate vs competitiveness? The European Commission published its proposal on the 2030 climate and energy framework on 22 January. Reflective of the current economic climate, it was accompanied by a report on energy prices and the Commission decided not to propose regulation on shale gas but to issue recommendations on environmental standards. The same day also saw the publication of a communication “For a European Industrial Renaissance”. Climate considerations no longer drive the agenda. The enthusiasm of 2007, when the “20/20/20” climate and energy targets were set for 2020, has diminished. The new reality has brought competitiveness to the top of the EU’s priority agenda.
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Mode of access: Internet.
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Published by: Western & Co., 1869-1871; Scientific Publishing Co., 1871-1906; Hill Publishing Co., 1906-1917; McGraw Hill Co., 1917-1922.
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Mode of access: Internet.
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Stochastic simulation is a recognised tool for quantifying the spatial distribution of geological uncertainty and risk in earth science and engineering. Metals mining is an area where simulation technologies are extensively used; however, applications in the coal mining industry have been limited. This is particularly due to the lack of a systematic demonstration illustrating the capabilities these techniques have in problem solving in coal mining. This paper presents two broad and technically distinct areas of applications in coal mining. The first deals with the use of simulation in the quantification of uncertainty in coal seam attributes and risk assessment to assist coal resource classification, and drillhole spacing optimisation to meet pre-specified risk levels at a required confidence. The second application presents the use of stochastic simulation in the quantification of fault risk, an area of particular interest to underground coal mining, and documents the performance of the approach. The examples presented demonstrate the advantages and positive contribution stochastic simulation approaches bring to the coal mining industry