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.