Traditional sentiment analysis mainly considers binary classifications of reviews, but in many real-world sentiment classification problems, non-binary review ratings are more useful. This is especially true when cons...
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ISBN:
(纸本)9781577355120
Traditional sentiment analysis mainly considers binary classifications of reviews, but in many real-world sentiment classification problems, non-binary review ratings are more useful. This is especially true when consumers wish to compare two products, both of which are not negative. Previous work has addressed this problem by extracting various features from the review text for learning a predictor. Since the same word may have different sentiment effects when used by different reviewers on different products, we argue that it is necessary to model such reviewer and product dependent effects in order to predict review ratings more accurately. In this paper, we propose a novel learning framework to incorporate reviewer and product information into the text based learner for rating prediction. The reviewer, product and text features are modeled as a three-dimension tensor. Tensor factorization techniques can then be employed to reduce the data sparsity problems. We perform extensive experiments to demonstrate the effectiveness of our model, which has a significant improvement compared to state of the art methods, especially for reviews with unpopular products and inactive reviewers.
Grid Computing provides sharing of geographically distributed resources among large scale complex applications. Due to dynamic nature of resources in grid, there is a need of highly efficient job scheduling and resour...
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How to protect individual privacy in public data is always a concern. For social networks, the challenge is that, the structure of the social network graph can be utilized to infer the private and sensitive informatio...
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An important property of reversible circuits is that they can reduce the energy consumption which is now a big problem for the advanced circuit design. If a circuit is reversible, it can reduce the energy consumption ...
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Based on cerebellar model articulation controller (CMAC), this paper attempts to propose a new chromosome representation scheme for representing real number parameters in genetic algorithms (GAs), which is termed CMAC...
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This research focuses on pedestrian detection using infrared thermal imager. The purpose is to locate the pedestrians from studying thermal imagery. Based on HOG (Histograms of Oriented Gradients), Adaboost algorithm ...
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Wikipedia has rapidly become an invaluable destination for millions of information-seeking users. However, media reports suggest an important challenge: only a small fraction of Wikipedia's legion of volunteer edi...
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Stereoscopic displays have become more and more common. A popular method for synthesizing 3D content is dept.-image-based rendering, in which multi-view images are synthesized from a color frame and an accompanying de...
Stereoscopic displays have become more and more common. A popular method for synthesizing 3D content is dept.-image-based rendering, in which multi-view images are synthesized from a color frame and an accompanying dept. map. However, when the image resolution increases, it is expensive to use a full-resolution dept. map because its high storage cost and decoding overhead. In addition, since the dept. map is often smooth, it is often not necessary to store the full-resolution dept. map. This paper uses a low-resolution dept. map and increases its resolution at run time using joint bilateral upsampling on GPUs. By doing so, we are able to display high-resolution stereoscopic videos on an autostereoscopic display.
The measure of similarity is necessary for the study of several problems such as: the multimedia adaptation, detection of intrusion based behavior, adaptation of web services. In this article, we propose the definitio...
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So far there are no synthesis algorithms that can find all the optimal quantum boolean circuits except an exhaustive algorithm. In this paper, we propose a method based on the divide and conquer approach which can sig...
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