关键词: LDA, 主题建模, 文本挖掘, 图书情报领域

Abstract: [Purpose/Significance] According to previous work, this paper aims to summarize and sorte out the applied process and applied fields of LDA model to provide reference for the research of LDA model in library and information science（LIS）field. [Design/Methodology] We selected Web of Science Core Collection、LISA、Google Scholar、CNKI、VIP and WANFANG Database as data source, retrieved literature about the LDA model in the field of LIS, constructed the analytical framework of LDA model application research through content analysis, from the perspective of the applied process of these models, carefully analyzed the current research at home and abroad [Findings/Conclusion] The results show that a more mature analysis process has been formed for the research of LDA topic models in LIS field, it has been applied in rich fields such as topic exploration, knowledge organization, academic evaluation, sentiment analysis,but the research still need to be strengthened in the future in dealing with complex tasks such as processing big data and multimodal data,improving the semantic quality of modeling results and the application of extended model [Originality/Value] Based on the applied process of LDA model, the existing problems and development direction of LDA model research in the field of LIS are revealed in detail.

Key words: LDA, Topic modeling, Text mining, LIS field