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In subjectivity and sentiment analysis (SSA), there are two main requirements are necessary to improve sentiment analysis effectively in any language and genres, first, high coverage sentiment lexicon - where entries are tagged with semantic orientation (positive, negative and neutral) - second, tagged corpora to train the sentiment classifier. Much of research has been conducted in this area during...
A prerequisite to implementing virtualization-aware security solutions is to solve the "semantic gap" problem. Current approaches require a deep knowledge of the kernel data to manually solve the semantic gap. However, kernel data is very complex; an Operating System (OS) kernel contains thousands of data structures that have direct and indirect (pointer) relations between each other with...
The Infrastructure-as-a-Service (IaaS) cloud computing model has become a compelling computing solution with a proven ability to reduce costs and improve resource efficiency. Virtualization has a key role in supporting the IaaS model. However, virtualization also makes it a target for potent rootkits because of the loss of control problem over the hosted Virtual Machines (VMs). This makes traditional...
Among the approaches for solving the semantic image segmentation problem that has proven successful is in formulating an energy minimization expressed on top of a conditional random field (CRF) over image pixels. Recently, high order potentials (cliques of size greater than 2) over superpixels have been incorporated in the CRF energy function yielding promising results. These potentials encourage...
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