数字图书馆论坛Issue(2)：29-36,8.DOI:10.3772/j.issn.1673-2286.2019.02.005
基于LDA的信息资源挖掘与可视化研究
Research on Information Resources Mining and Visualization Based on LDA
摘要
Abstract
LDA is a probabilistic model for extracting topics from document resources, and it is usually effective for extracting topics from documents. Archival information resources are of high utilization value, but there are problems such as fragmentation and insufficient construction. Based on this, this paper applies LDA, clustering and hierarchical space construction technology to the construction of archival information resources, and conducts an empirical study. From the experimental results, the application of LDA to the construction of archival information resources can excavate the hidden connections between resources, clarify the hierarchy of resources, and contribute to the visual display of information resources.关键词
信息资源建设/主题提取/聚类/层次空间Key words
Information Resource Construction/Topic Distillation/Clustering/Levels of Space分类
信息技术与安全科学引用本文复制引用
丁玲,叶佳鑫,曾婷..基于LDA的信息资源挖掘与可视化研究[J].数字图书馆论坛,2019,(2):29-36,8.基金项目
本研究得到中国工程院"中国工程科技知识中心建设项目"子项目"丝路科技知识服务系统"(编号:CKCEST-2018-2-6)和陕西省图书馆学会课题"高校图书馆''一带一路''数字资源建设策略研究——以西安交通大学图书馆为例"(编号:181015)资助. （编号:CKCEST-2018-2-6）
