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Most of the previous researches on sentiment analysis concentrate on the binary distinction of positive vs. negative. This paper presents the multi-class sentiment classification problem that attempt to mine the implied rating information from reviews. We use four machine learning methods and two feature selection methods to find out whether or not the multi-class sentiment classification problem...
Decision tree is a forecasting model with a tree shape. The way from the root node to the leaf node forms the rule that forecasts a class label to the object. But it is often used in the condition of having not too much attributes. And FP-tree is a fast and efficient structure to discover frequent pattern. The paper proposes a new fast method for categorization through FP-tree. It discovers frequent...
Hierarchical document classification refers to assigning one or more suitable categories from a hierarchical category space to a document. This paper proposes a new hierarchical document classification method based on a backtracking algorithm. Utilizing the relationships between categories in category tree, a suitable threshold for every category is found to determine whether a document could be classified...
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