Monitoring institutional research contributions to the Sustainable Development Goals (SDGs) is becoming increasingly crucial for evidence-based decision-making in academic and research libraries. In the era of big data, libraries not only store publications but also support research analysis and visualization to develop institutional strategies. Researchers at the National Agency for Research and Innovation (BRIN)1 in Indonesia have taken an innovative approach by using topic modeling methods, specifically Latent Dirichlet Allocation (LDA), to develop an application that automatically classifies institutional publications into SDG categories