This repository showcases my contribution to a project focused on Topic Modeling for Shopee's Star Reviews in the Indonesian language. The main goal is to uncover insights into the prevalent topics within each star review. I specifically undertook the challenge of conducting topic modeling for the 1-Star Reviews. Moreover, the project seeks to evaluate and pinpoint the most effective algorithm for this task. The three algorithms employed in this project are Latent Dirichlet Allocation (LDA), Non-Negative Matrix Factorization (NMF), and BERTopic. The evaluation metrics utilized encompass Topic Diversity and Coherence Score.
