A number of well-known probabilistic topic modeling approaches such as Probabilistic Latent Semantic Analysis (PLSA) (Hofmann, 1999) and Latent Dirichlet Allocation (LDA) (Blei et al., 2003), have been explored to discover topics from a set of documents.
due to the shortness and lack of context, these topic modeling approaches may not work well with tweets.