| Issue |
MATEC Web Conf.
Volume 333, 2021
The 18th Asian Pacific Confederation of Chemical Engineering Congress (APCChE 2019)
|
|
|---|---|---|
| Article Number | 10003 | |
| Number of page(s) | 4 | |
| Section | Process Safety Management and Technology | |
| DOI | https://doi.org/10.1051/matecconf/202133310003 | |
| Published online | 08 January 2021 | |
Case Study of Text Analytics Applied to Accident Reports of a University
1
Environment, Health & Safety Office, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan
2
Graduate School of Environmental Studies, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan
3
Professor Emeritus, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan
4
Institute of Liberal Arts and Sciences, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan
* Corresponding author: hayashi@esmc.nagoya-u.ac.jp
Many accidents have occurred in universities and the accident reports are accumulated in most universities. The information described in the accident reports must be used effectively to prevent a recurrence of the accidents. In this study, we applied text analytics to the description written in 373 accident reports in a university as a case study. Information mining method was adopted for the contents analysis, and 9 factors based on m-SHEL and human error, that is “software”, “hardware”, “environment”, “liveware2”, “management” “slip”, “lapse”, “mistake”, and “violation” were used for morphological analysis for description in report. The factors in each category of accident situation were extracted, and it is suggested that text analytics is one of the most effective methods to analyse the accident reports in universities.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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