文章摘要
石栖,胡正银,王莉晓.基于LDA-WLC的图情领域学科交叉主题演化分析[J].数字图书馆论坛,2023,(5):54~63
基于LDA-WLC的图情领域学科交叉主题演化分析
Analysis of Interdisciplinary Topic Evolution in the Field of Library and Information Science Based on LDA-WLC
投稿时间:2023-04-13  
DOI:10.3772/j.issn.1673-2286.2023.05.007
中文关键词: 学科交叉;主题挖掘;主题过滤;主题演化;LDA
英文关键词: Interdisciplinarity; Topic Mining; Topic Filtering; Topic Evolution; LDA
基金项目:本研究得到中国科学院“十四五”文献情报能力建设专项任务“建设多学科特色数据关联服务系统”(编号:E1290208)资助。
作者单位
石栖 中国科学院大学经济与管理学院;中国科学院成都文献情报中心 
胡正银 中国科学院大学经济与管理学院;中国科学院成都文献情报中心;四川省科技信息智能挖掘与应用工程研究中心 
王莉晓 中国科学院大学经济与管理学院;中国科学院武汉文献情报中 
摘要点击次数: 815
全文下载次数: 1000
中文摘要:
      学科交叉主题演化分析可深入揭示交叉主题产生和发展的过程、动力与未来发展趋势,推动学科建设与发展。首先,以图情领域中文核心期刊论文为数据来源,通过引文分析遴选该领域所有的热点交叉学科。其次,利用LDA主题模型和WLC决策规则进行主题挖掘与主题过滤,从主题强度与主题内容两个方面进行学科交叉主题演化分析,研究发现:图情领域学科交叉主题的主题强度与技术更新频率呈现正相关关系;主题内容演化均以特定年份为分界点,呈现出复杂化、多样化的特点。最后,提出对图情领域学科交叉融合发展的几点建议。
英文摘要:
      The analysis of the evolution of interdisciplinary topics can reveal the process, power, and future development trend of the generation and development of interdisciplinary topics, and promote the construction and development of disciplines. Firstly, we take the papers of Chinese core journals in the field of library and information science as the data source and select all the hot interdisciplinary subjects in this field through citation analysis. Secondly, we use LDA topic model and WLC decision rules to mine and filter topics. The evolution of interdisciplinary topics is analyzed from the aspects of subject intensity and subject content. The results show that there is a positive correlation between the intensity of the topic and the frequency of technology updating. The evolution of theme content takes a particular year as the demarcation point, showing the characteristics of complexity and diversification. Finally, we put forward some suggestions on the development of interdisciplinary integration of lib ary and information science.
查看全文   查看/发表评论  下载PDF阅读器
关闭

分享按钮