陶秋香, 喻金科, 涂继亮. 基于向量空间模型的公文分类系统研究与实现[J]. 南昌航空大学学报(自然科学版), 2009, 23(4): 66-70.
引用本文: 陶秋香, 喻金科, 涂继亮. 基于向量空间模型的公文分类系统研究与实现[J]. 南昌航空大学学报(自然科学版), 2009, 23(4): 66-70.
TAO Qiu-xiang, YU Jin-ke, TU Ji-liang. Research and Implementation of Document Classification System Based On Vector Space Model[J]. Journal of nanchang hangkong university(Natural science edition), 2009, 23(4): 66-70.
Citation: TAO Qiu-xiang, YU Jin-ke, TU Ji-liang. Research and Implementation of Document Classification System Based On Vector Space Model[J]. Journal of nanchang hangkong university(Natural science edition), 2009, 23(4): 66-70.

基于向量空间模型的公文分类系统研究与实现

Research and Implementation of Document Classification System Based On Vector Space Model

  • 摘要: 文章针对办公信息管理中公文管理智能化程度尚不够高的这一特点,重点研究了贝叶斯文本分类技术在办公信息系统中公文分类的应用.提出了一种基于向量空间模型的贝叶斯文本分类技术并将其应用到高校公文智能办公系统的实现中,给出了详细的算法流程及设计步骤,最后给出了示例的实验结果及分析.实验结果表明,当训练集合数目有限时,该方法能够有效提高电子邮件的分类准确率,该文本分类技术的应用可以有效提高办公系统公文管理的智能性.

     

    Abstract: Aiming at the poor intelligence management of office information,this paper focuses on the research of the classification of information technology in the office systems.A Bayes text classification technique based on vector space model is put forward and is applied to colleges and universities in document handling.A detailed algorithm of the flow is given,and finally the example of the experimental results is provided.The results show that this approach can improve the accuracy of document classification especially when the size of training set is small and can effectively improve the office system's intelligence management.

     

/

返回文章
返回