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Bag-of-words (BOW) is now the most popular way to model text in statistical machine learning approaches in sentiment analysis. However, the performance of BOW sometimes remains limited due to some fundamental deficiencies in handling the polarity shift problem. We propose a model called dual sentiment analysis (DSA), to address this problem for sentiment classification. We first propose a novel data...
Feature selection and classifier are two important issues in intrusion detection to achieve high performance. This paper proposes intrusion detection scheme based on feature selection with different feature selection methods. Then the extracted features are employed by Support Vector Machine (SVM) for classification. But in fact, single classifier doesn't attain satisfying performance. To address...
The principles of support vector regression (SVR) are described. The collection and treatment of customer demand, the moving time window method, the selection of training samples and the analysis of forecasting accuracy are stated. The customer demand forecasting approach based on SVR using moving time window method is proposed. With the demand data of a simulation example, the presented approach...
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