期刊文献+

专家研究领域自动识别研究 被引量:4

The Study of Expert Research Field Automatic Recognition
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摘要 借鉴文本自动分类思想,基于文档权重归并法,采用N元语言模型,设计一个专家领域识别实验系统;并以"武汉大学"为例对专家研究领域自动识别的效果进行初步评测,实验结果表明该系统对专家研究领域的自动识别具有很高的查准率。 Based on document- weight combining method, this paper uses N- gram language model and designs an expert research field recognition system. Taking Wuhan University as a preliminary evaluation example, the authors find that the system is highly effective in the expert research field recognition.
作者 赵红斌 陆伟
出处 《现代图书情报技术》 CSSCI 北大核心 2010年第2期63-67,共5页 New Technology of Library and Information Service
基金 国家自然科学基金重点项目"基于生命周期理论的数字信息资源深度开发与管理机制研究"(项目编号:70833005) 教育部人文社会科学规划项目"专家专长智能识别与检索系统实现研究"(项目编号:09YJA870021)的研究成果之一
关键词 专家研究领域识别 专家检索 文本分类 Expert research field recognition Expert search Text classification
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参考文献14

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共引文献38

同被引文献38

  • 1梁樑,熊立,王国华.一种群决策中确定专家判断可信度的改进方法[J].系统工程,2004,22(6):91-94. 被引量:44
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