一种基于朴素贝叶斯的内容选择方法

A Nave Bayes-based Content Selection Model

主要研究通过语料库自动学习特定领域的内容选择方法。我们基于语料库提出了选择的内容特征,通过朴素贝叶斯方法训练出一个内容选择模型。实验标明,该方法在特定领域的内容选择任务中可以取得较好的效果。

This article proposes a new method for learning content selection rules.Central to this approach is the content select feature.The algorithm introduced in the article automatically train a na ve bayes model from a set of concept features.The results indicate model suits the task well in specific domain.