基于改进ATSVM算法的评审专家自动推荐模型

提出一种基于文本分类技术的评审专家自动推荐模型,通过文本分类技术对评审专家所发表的论文进行所属学科领域的分类,进而判断出评审专家的主要研究领域。模型采用了基于TF/IDF特征权重阈值的向量空间模型算法和改进后的ATSVM分类算法。实验结果表明,改进后的ATSVM分类算法可以增加交互的过程使训练得到的分类器具备自学习的能力,改进后的主动学习SVM分类器在多类别的分类上能够精确分类并且提高分类速度。

Automatic Recommended Model of Reviewer Based on the Algorithm of Improved ATSVM

The paper puts forwards an automatic recommended model for the reviewer based on the text categorization technology.Computer can automatically sort the appeared papers of the reviewer into the right subject based on the automatic text categorization,so we can judge the research direction of the reviewer.The model used the algorithm of vector space model and the improved ATSVM categorization algorithm.The experimental results show that the improved ATSVM categorization algorithm can increase the process of a...