论文信息 - A New Fine-Grained Weighting Method in Multi-Label Text Classification

A New Fine-Grained Weighting Method in Multi-Label Text Classification

Multi-label classification is one of the important research areas in data mining. In this paper, a new multilabel classification method using multinomial naive Bayes is proposed. We use a new fine-grained weighting method for calculating the weights of feature values in multinomial naive Bayes. Our experiments show that the value weighting method could improve the performance of multinomial naive Bayes learning.

Chang-Hwan Lee

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