FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model

Topic models have been evolving rapidly over the years, from conventional to recent neural models. In this paper, we propose FASTopic, a fast, adaptive, stable, and transferable topic model. FASTopic follows a new paradigm: Dual Semantic-relation Reconstruction (DSR). By reconstructing through these semantic relations, DSR discovers latent topics. This brings about a neat and efficient topic modeling framework.