国内基于主题模型的科技文献主题发现及演化研究进展被引量：23

Research Progress of Scientific and Technical Literature Topic Detection and Evolution Based on Topic Model in China

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摘要 [目的 /意义]分析中国国内基于主题模型的科技文献主题发现及演化研究进展,以期为相关研究人员提供参考借鉴及研究思路。[方法 /过程]选取中国知网(CNKI)数据库及万方数据知识服务平台作为文献来源,检索并筛选相关文献,通过人工判读提炼出基于主题模型的科技文献主题发现及演化研究的分析流程,并采用文献分析法对流程中国内研究人员所使用到的策略、方法、分析手段等进行归纳和总结。[结果 /结论]研究已初具规模,形成较为完整的分析流程,同时各个流程环节上所涉及到的策略、方法和分析手段较为多样化。另外,也存在着一些问题:主题模型方法在科技文献领域的应用尚且不成熟,主题数目固定,缺少对主题模型应用效果的评价方法与准则。 [ Purpose/significance ] This paper studiesresearch progress of scientific and technical literature topic detection and evolution based on topic model in China, to provide reference and idea for related researchers. [ Method/ process ] It selects CNKI and WANGFANG DATA as data sources, retrievesand screensrelated articles, extractsthe analysis process of literature topic detection and evolution based on topic model by manual interpretation, and concludes the strategies and method that Chinese researchers use in the process with literature analysis method. [ Resnit/conclusion ] This related research is comparatively mature, and the analysis process is comparatively complete, and the strategies, methods and tools involved in every steps of analysis process are of diversity. On the other hand, there are some shortages, such as the application of topic model in literature topic detection and evolution is not that mature, the number of topics is constant, and it islack of evaluation methods and standards for application effect of topic model.

作者王燕鹏

机构地区中国科学院文献情报中心中国科学院大学

出处《图书情报工作》 CSSCI 北大核心 2016年第3期130-137,共8页 Library and Information Service

关键词主题模型主题发现主题演化文本预处理参数估计 topic model topic detection topic evolution text processing parameter estimation

分类号 G353.1 [文化科学—情报学]

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参考文献24

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