Topic Mining and Evolution Analysis of Information Literacy Education in University Libraries Based on T-LDA2vec
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 relevant documents 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.
text miningLDAword2vecuniversity libraryinformation literacy education
万方数据
维普
