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基于T-LDA2vec的高校图书馆信息素质教育主题挖掘与演化分析
引用本文:王智迪.基于T-LDA2vec的高校图书馆信息素质教育主题挖掘与演化分析[J].科技和产业,2024,24(2):102-110.
作者姓名:王智迪
作者单位:吉林动画学院图书馆,长春 130012
摘    要:为了深入研究高校图书馆信息素质教育领域的发展趋势和演化过程,收集了1998—2023年的1 606篇相关文献,经过数据清洗和预处理后,构建T-LDA2vec混合模型,用于主题建模和文本分析。在时间趋势上,揭示高校图书馆信息素质教育领域存在学术繁荣期和学术调整期两个关键时期。在学术繁荣期相关文献数量迅速增长,而学术调整期文献数量急剧下降,反映该领域正在经历学术调整。继而,运用T-LDA2vec模型进行主题挖掘,确定每个时期的最佳主题数量,并将主题划分为高校教育评估、师资培养、情报管理、网络化图书馆服务、高校图书馆素质教育服务、心理素质与教育表现、地方信息化与课程发展、数字化图书馆员培养八大类别。结果表明,计算不同时间段内各主题的强度,并通过交互式条形图描述热点主题。研究发现,一些主题在不同时期内保持较高的强度,表明它们在相关文献中具有重要影响力。师资培养、教学改革及高校图书馆资源创新与服务质量等主题在不同时期内维持了较高的强度。通过主题演化分析,揭示了不同时期内主题之间的关联和演化过程,指出高校图书馆信息素质教育研究的关注焦点逐渐从基础服务向资源创新、知识管理和在线教育等领域演化。该研究...

关 键 词:文本挖掘  LDA  word2vec  高校图书馆  信息素质教育

Topic Mining and Evolution Analysis of Information Literacy Education in University Libraries Based on T-LDA2vec
Abstract:In order to delve into the development trends and evolution processes in the field of information literacy education in university libraries,a total of 1 606 relevantdocuments from 1998 to 2023 were collected, and after data cleaning and preprocessing, a T-LDA2vec hybrid model was constructed for topic modeling and text analysis. In terms of time trends, two key periods were revealed in the field of information literacy education in university libraries: the academic prosperity period and the academic adjustment period. During the prosperity period, the number of relevant documents rapidly increased, while during the adjustment period, the number of documents sharp declined, reflecting that the field was undergoing academic adjustments. Subsequently, the T-LDA2vec model was used to perform topic mining and determine the optimal number of topics for each period, which were classified into eight categories, including university education evaluation, teacher training, intelligence management, networked library services, information literacy education services in university libraries, psychological qualities and educational performance, local informatization and curriculum development, and digital librarian training. The strength of each topic within different time periods was calculated and hot topics were described through interactive bar charts. The study found that some topics maintained high intensity during different periods, indicating their important influence in relevant documents. Topics such as teacher training, teaching reform, and innovation and quality of university library resources maintained high intensity during different periods. Through topic evolution analysis, the correlation and evolution process of topics during different periods were revealed, pointing out that the focus of research on information literacy education in university libraries has gradually shifted from basic services to areas such as resource innovation, knowledge management, and online education. A comprehensive understanding of the research trends in this field and a useful reference for future research directions and policy development are provided. Additionally, a beneficial methodological demonstration for the application of text analysis methods is put forward.
Keywords:text mining  LDA  word2vec  university library  information literacy education
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