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基于词频统计与语义关联的京津冀协同发展研究热点与前沿监测研究 被引量:2

The Research Hotspot and Frontier Monitoring Study on the Coordinated Development of Beijing Tianjin and Hebei Province——Based on Word Frequency Statistics and Semantic relevance
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摘要 结合词频统计与高频关键词的语义关联分析,为"京津冀协同发展"的研究热点及前沿主题的细化研究提供切入点。结合实验数据,提出关键词语义关联的三种路径:基于叙词表概念关系的关联、基于关键词语法结构的关联和基于逻辑概念分类的关联,并基于这三种路径探索了京津冀协同发展研究的热点及前沿趋势。 The semantic relevance analysis combing word frequency statistics and high frequency keywords,provide an entry point for the detailed research on the research hotspot and frontier topic of "the Coordinated Development of Beijing,Tianjin and Hebei Province".Based on the experimental data,three paths of keywords semantic relevance are presented:relevance based on the conceptual relation of descriptors,relevance based on keywords' grammatical structure and relevance based on logical concept classification.On the basis of these three paths,the paper explores the research hotspot and front trend of"the Coordinated Development of Beijing,Tianjin and Hebei Province".
出处 《河北科技图苑》 2018年第1期91-96,共6页 Hebei Library Journal of Science and Technology
基金 河北省教育厅"大数据环境下的科技热点与科技前沿监测方法与实证研究"(ZC2016018)研究成果
关键词 研究热点 语义关联 词频分析 Research Hotspot Semantic Relevance Word Frequency Analysis
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