耿晓军

• 1:陕西电子杂志社《现代电子技术》编辑部

摘要(Abstract)：

现阶段的期刊收稿系统主要采用人工方式将投稿论文分配给相关专业领域的审稿专家,从而完成论文审稿。但是当面对大量的稿件时,人工分配方式存在效率较低,不能满足期刊时效性需求。针对以上问题,为了实现投稿论文的自动分配,建立一种基于半监督支持向量机的论文自动分类方法。首先提出了基于TF/IDF特征项权重的向量空间模型来实现论文的特征向量表示;然后采用半监督支持向量机对论文数据集进行分类;最后通过对某期刊收稿实例的分析,验证了该方法的有效性。实验结果表明,提出的基于半监督支持向量机的期刊收稿系统自动分类方法的平均F1的结果约为68%,从而在满足一定准确度的条件下提高了收稿系统的工作效率。

关键词(KeyWords)： 期刊收稿系统;自动分类;专家审稿;半监督支持向量机;工作效率;特征向量

Abstract:

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基金项目(Foundation):

作者(Author): 耿晓军

DOI: 10.16652/j.issn.1004-373x.2018.24.043

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