This paper introduces the Topic Facet Model (TFM), a probabilistic topic model designed to identify topic facets within single sentences of forum posts. By applying TFM, the study aims to uncover latent structures in the content of online discussion forums. A visual analytics interface was developed to present these semantic findings. Preliminary results indicate that TFM is effective in extracting specific topics from conversational, short texts in online programming forums.