Based on the data of adverse events reports about intrauterine device on the public data opening platform of the Food and Drug Administration of the USA, the paper uses the text mining methods such as word frequency analysis, topic model and so on to analyze the non-structured text variables in the data, discusses the application feasibility of this method and points out the existing problems.