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Training time is an important consideration in classification practices. Various algorithms like SVM usually suffer from high computational cost during the training process. In this paper, we proposed a hybrid classification algorithm, by combining RNN and SVM together. RNN is a rapid neural network with randomly generated input weights, which performs as a fast, light weighted data selector. Selected...
Document classification tasks can be divided into two sorts: supervised document classification and unsupervised document classification. Supervised learning algorithm always has a better performance than unsupervised learning. However, it is very difficult to assign enough teacher signal. In this study, we developed a customer intention aware system for document analysis. The system starts from an...
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