The purpose of this study is to extract the information useful for the countermeasure of the industrial accidents by analyzing the data of industrial accidents at construction sites by text mining. The analysis is based on the past 10 years’ data of 2,413 accidents in the construction site. As a result of the analysis, it was possible to extract the situation of the industrial accident which was more detailed than the previous research. This paper shows the possibility that analysis of industrial accident information described in natural language is effective, when countermeasures for industrial accidents are considered.
