Assessing the use of UAS-related terms in ASRS using Seed Topic Modeling
Author:
Affiliation:
1. KBR Wyle
2. NASA Ames Research Center
Publisher
American Institute of Aeronautics and Astronautics
Link
https://arc.aiaa.org/doi/pdf/10.2514/6.2023-1127
Reference15 articles.
1. Paradis, C. V., Kazman, R., Davies, M. D., and Hooey, B. L., A Survey Protocol to Assess Meaningfulness and Usefulness of Automated Topic Finding in the NASA Aviation Safety Reporting System, https://doi.org/10.2514/6.2021-2404, URL https://arc.aiaa.org/doi/abs/10.2514/6.2021-2404.
2. Srinivasan, P., Nagarajan, V., and Mahadevan, S., Mining and Classifying Aviation Accident Reports, https://doi.org/10. 2514/6.2019-2938, URL https://arc.aiaa.org/doi/abs/10.2514/6.2019-2938.
3. Hu, X., Wu, J., and He, J., Textual Indicator Extraction from Aviation Accident Reports, https://doi.org/10.2514/6.2019-2939, URL https://arc.aiaa.org/doi/abs/10.2514/6.2019-2939.
4. Zhang, X., and Mahadevan, S., A Hybrid Data-Driven Approach to Analyze Aviation Incident Reports, https: //doi.org/10.2514/6.2018-3982, URL https://arc.aiaa.org/doi/abs/10.2514/6.2018-3982.
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