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现代图书情报技术  2016, Vol. 32 Issue (4): 8-19    DOI: 10.11925/infotech.1003-3513.2016.04.02
  研究论文 本期目录 | 过刊浏览 | 高级检索 |
采用LDA主题模型的国内知识流研究结构探讨: 以学科分类主题抽取为视角*
王曰芬(),傅柱,陈必坤
南京理工大学经济管理学院 南京 210094
Analyzing Knowledge Structure Research with LDA Model
Wang Yuefen(),Fu Zhu,Chen Bikun
School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, China
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摘要 

目的】利用LDA主题模型探索分类视角下的主题提取与分布状态, 全面深入地揭示学科知识结构和热点。【方法】以国内知识流领域为研究对象, 选取CNKI和万方数据库中知识流相关文献为数据源, 利用中图分类号将知识流研究的文献分成11个学科, 借助LDA主题模型分别对这11个学科所包含的文献进行主题抽取, 挖掘出不同学科中所包含的20个热点主题。【结果】分析20个热点主题, 得到11个不同学科的热点主题内容及其所揭示的知识点。【局限】该方法没有同其他学科主题挖掘方法进行对比, 分析得到的国内知识流研究热点也没有同已有相关文献中分析出的该领域热点进行对照。【结论】该方法能够更全面和深入地挖掘学科知识结构和研究热点。

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王曰芬
傅柱
陈必坤
关键词 知识流LDA主题抽取学科分类知识结构研究热点    
Abstract

[Objective] This paper aims to comprehensively explore the knowledge structure and hotspot distribution of different disciplines, with the help of topic extraction and distribution analysis using LDA (Latent Dirichlet Allocation) model from the perspective of subject classification. [Methods] We collected data from the domestic knowledge flow (KF) field and KF related literature from CNKI and Wangfang database, then grouped these data into 11 categories by Chinese Library Classification. Finally, we extracted 20 hot subjects from documents in 11 disciplines with the help of the LDA topic model. [Results] The content and knowledge points in 11 disciplines were obtained from the analysis of 20 extracted hot topics. [Limitations] We did not compare the proposed method with topic mining research in other fields. The domestic KF hotspots found by our study were not compared to the previous findings. [Conclusions] The proposed method can help us explore the knowledge structure and research trends more comprehensively.

Key wordsKnowledge flow    LDA    Topic extraction    Discipline classification    Structure map    Research focus
收稿日期: 2015-11-16     
基金资助:*本文系国家自然科学基金项目“新研究领域科学文献传播网络生长及对传播效果影响研究”(项目编号: 71373124)和国家社会科学基金项目“学科结构与演化的可视化分析理论框架及应用研究”(项目编号: 15CTQ035)的研究成果之一
引用本文:   
王曰芬,傅柱,陈必坤. 采用LDA主题模型的国内知识流研究结构探讨: 以学科分类主题抽取为视角*[J]. 现代图书情报技术, 2016, 32(4): 8-19.
Wang Yuefen,Fu Zhu,Chen Bikun. Analyzing Knowledge Structure Research with LDA Model. New Technology of Library and Information Service, DOI:10.11925/infotech.1003-3513.2016.04.02.
链接本文:  
http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2016.04.02
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