【摘要】 介绍了一种基于贝叶斯定理的文本分类模型“树桩网络(stump network)”。将该方法与朴素贝叶斯文本分类器和TAN(tree augmented naive bayes)文本分类器进行实验比较。结果表明,在大多数数据集上该文本分类方法具有较好的分类正确率。更多还原

【Abstract】 In this paper,an text classification model based on bayes theorem called stump network is introduced.Stump Network text classifier is compared with naive bayes text classifier and TAN(tree augmented naive bayes) by an experiment.Experimental results show this model has higher classification accuracy in most data sets.更多还原