Acknowledgement
This work was supported by a Research Grant of Pukyong National University(2019)
References
- KOSHA, "Statistical Survey and Analysis of Industrial Disasters", 2018.
- Y. Suh, "Data Analytics for Social Risk Forecasting and Assessment of New Technology", J. Korean Soc. Saf., Vol. 32, No. 3, pp. 83-89, 2017. https://doi.org/10.14346/JKOSOS.2017.32.3.83
- C. D. Manning and H. Schutze, "Foundations of Statistical Natural Language Processing", MIT Press, 1999.
- B. Kim, S. Chang and Y. Suh, "Text Analytics for Classifying Types of Accident Occurrence Using Accident Report Documents", J. Korean Soc. Saf., Vol. 33, No.3, pp. 58-64, 2018. https://doi.org/10.14346/JKOSOS.2018.33.3.58
- S. Kang and Y. Suh, "On the Development of Risk Factor Map for Accident Analysis using Textmining and SelfOrganizing Map(SOM) Algorithms", J. Korean Soc. Saf., Vol. 33, No. 6, pp. 77-84, 2018. https://doi.org/10.14346/JKOSOS.2018.33.6.77
- G. Ahn, M. Seo and S. Hur, "Development of Accident Classification Model and Ontology for Effective Industrial Accident Analysis based on Textmining", J. Korean Soc. Saf., Vol. 32, No. 5, pp. 179-185, 2017. https://doi.org/10.14346/JKOSOS.2017.32.5.179
- T. L. Bunn, S. Slavova and L. Hall, "Narrative Text Analysis of Kentucky Tractor Fatality Reports", Accid. Anal. Prev., Vol. 40, No. 2, pp. 419-425, 2008. https://doi.org/10.1016/j.aap.2007.07.010
- T. Mikolov, K. Chen, G. Corrado and J. Dean, "Efficient Estimation of Word Representations in Vector Space", arXiv preprint, arXiv:1301.3781, 2013.
- X. He, D. Cai, S. Yan and H. Zhang, "Neighborhood Preserving Embedding", Tenth IEEE International Conference on Computer Vision, 2005.
- K. Toutanova, D. Chen, P. Pantel, H. Poon, P. Choudhury and M. Gamon, "Representing Text for Joint Embedding of Text and Knowledge Bases", Conference on Empirical Methods in Natural Language Processing, pp. 1499-1509, 2015.
- J. H. Jo, "A study on the Causes Analysis and Preventive Measures by Disaster types in Construction Fields", KSMS, Vol. 14, No. 1, pp. 7-13, 2012.
- S. K. Kang, H. Yu and Y. J. Lee, "Analyzing Disaster Response Terminologies by Text Mining and Social Network Analysis", Information Systems Review, Vaol. 18, No. 1, pp. 141-155, 2016. https://doi.org/10.14329/isr.2016.18.1.141
- W. Jang and Y. Suh, "Identifying Abnormal Accidents Using Local Outlier Factor and Decision Tree Algorithms", Journal of the Korean Institute of Industrial Engineers, Vol. 45, No. 4, pp. 329-340, 2019. https://doi.org/10.7232/JKIIE.2019.45.4.329
- Y. Goldberg and O. Levy, "Word2vec Explained: Deriving Mikolov et al.'s Negative-sampling Word-embedding Method", arXiv preprint, arXiv:1402.3722, 2014.
- L. Ma and Y. Zhang, "Using Word2Vec to Process Big Text Data", IEEE International Conference on Big Data, 2015.
- Sanghyuk Choi, Jinseok Seol and Sang-goo Lee, "On Word Embedding Models and Parameters Optimized for Korean", Korean Language information Science Society, pp. 252-256, 2016.
- L. Van Der Maaten and G. Hinton, "Visualizing Data using t-SNE", J Mach Learn Res, Vol. 9, pp. 2579-2605, 2008.
- A. Likas, N. Vlassis and J. J. Verbeek, "The Global k-means Clustering Algorithm", Pattern Recognition, Vol. 36, No. 2, pp. 451-461, 2003. https://doi.org/10.1016/S0031-3203(02)00060-2