【目的/意義】為了解近年來圖書情報研究的熱門主題及其演化趨勢,利用LDA模型進行文本挖掘。【方法/過程】選取CNKI作為檢索數據庫,以2006年至2017年圖書情報學領域10本核心期刊中的論文摘要作為研究數據,借助開源工具JGibbLDA構建LDA模型,運用困惑度來確定模型主題數目,根據主題-詞項分布文件進行主題標識,根據文檔-主題分布文件計算主題強度。【結果/結論】2006年至2017年圖書情報學領域有20個研究主題,其中比較熱門的主題有7個;8個主題的強度呈上升趨勢,9個主題的強度呈下降趨勢,3個主題的強度變化幅度較小。

【Purpose/significance】In order to understand the hot topics and evolution trends of library and information research in recent years, LDA model is used for text mining.【Method/process】Select CNKI as the search database, use the abstracts of the papers in 10 core journals in the field of library and information from 2006 to 2017 as the research data,build the LDA model with JGibbLDA, and use the confusion to determine the number of models. The term distribution file is used to identify the topic, and the topic strength is calculated based on the document-topic distribution file.【Result/conclusion】There are 20 research topics in the field of Library and Information Science from 2006 to 2017, among which there are 7 hot topics. The intensity of 8 topics is on the rise, the intensity of 9 topics is decreasing, and the intensity changing of the three topics is small.