Topic Modeling Analysis of Aviation Accident Reports: A Comparative Study between LDA and NMF Models

arXiv:2403.04788v1 Announce Type: new
Abstract: Aviation safety is paramount in the modern world, with a continuous commitment to reducing accidents and improving safety standards. Central to this endeavor is the analysis of aviation accident reports, rich textual resources that hold insights into the causes and contributing factors behind aviation mishaps. This paper compares two prominent topic modeling techniques, Latent Dirichlet Allocation (LDA) and Non-negative Matrix Factorization (NMF), in the context of aviation accident report analysis. The study leverages the National …

abstract accidents analysis arxiv aviation commitment continuous cs.cl endeavor insights lda modeling modern reports resources safety standards study textual topic modeling type world