文章采用基于文本挖掘的方法，对2008～2017年间iConference会议的研究热点与主题分布、历届会议的研究热点、主要研究问题的热度演变进行了分析，并尝试总结了iConference会议研究热点对我国图书、情报和档案学发展的启示。作者采集了2008～2017年iConference会议文献的主题和摘要文本数据，基于Python自然语言处理库和机器学习库编写分析程序，使用词频分析法、N-Gram分析法、TF-IDF特征提取法、K-Means聚类和膨胀词监测等方法对文献进行了分析，采用Echarts数据可视化库编写数据可视化程序对分析结果进行可视化。研究发现，数据科学、数据管理主题下的研究日益成为研究热点，且和其他主题呈现融合发展态势；用户研究、信息行为等以人为中心的研究一直是信息科学关注的重点主题。

This study mainly focuses on the research hotspots of iConference and their distribution, the change of every year’s hotspots and the change of the primary research themes through the method of text minning. The author collects the 10 years’text data of iConference from 2008 to 2017, does programming based on Python Nltk and Scikitlearn package and uses word-frequency method, n-gram method, TF-IDF method, K-Means method to analyze the text data of iConference. The author also uses Echarts program library to do data visualization for the result. By analysis, the author finds the research hotspots of iConference and their distribution, the change features of every year’s hotspots and the change features of the primary research themes, and the author tries to summarize the inspiration to the field of information science, library science and archival science in our country.