“…Topic modeling has been applied in social sciences to extract latent topics from a large corpus. It has helped investigate the issues relating to economics (F. Ahmed, Nawaz, et al, 2022), climate change (Ylä-Anttila et al, 2021), policymaking (Isoaho et al, 2021; Ylä-Anttila et al, 2021), framing discourses (F. Ahmed, Mubeen, et al, 2022), countries’ priority settings (Baturo et al, 2017) . The primary topic modeling method is LDA, a probabilistic model that models the probability of each topic or word cluster in each document and the likelihood of each word in each topic (Blei, 2012).…”