摘要
随着网络信息技术的快速发展和论文投稿数量的大幅提高,为了减轻学报编辑的工作负担,提高工作效率,学报编辑部都有必要建立自己投稿系统。本文设计和实现了一个基于贝叶斯的智能学报投稿系统。该系统采用现在先进的SSH框架整合技术,运用基于贝叶斯理论的分类器对来稿进行自动分类等操作。
As the quick development of the technology of network and information and the huge increase of the amount of paper contributed, the editors of journal have big challenges to handle so much work. So it is very necessary to build a contribution system for the editorial department of journal to release the editors and improve work efficiency. The paper is about how to design and realize smart contribution system based on Bayes theory. The system is based on SSH frameworks and applies classifier based on Bayes theory to classify paper automatically.
出处
《湖南人文科技学院学报》
2009年第2期31-34,共4页
Journal of Hunan University of Humanities,Science and Technology
关键词
投稿系统
贝叶斯理论
文本分类
contribution system
Bayes theory
text classification