Through a comparative analysis of various topic modeling methods, including latent Dirichlet allocation, latent semantic indexing, and nonnegative matrix factorization, this study systematically identifies and categorizes the main topics discussed in the literature concerning the impact of climate change on cultural heritage. Each technique offers unique strengths, and the combined use of these methods provides a robust framework for analysis. The results reveal critical themes, such as the vulnerability of cultural heritage sites to climate-induced phenomena, the importance of adaptive and mitigation strategies, and the socioeconomic implications of heritage loss. Despite the robustness of these findings, significant gaps remain, particularly in proactive measures and the representation of intangible cultural heritage.