The majority of previous work has primarily focused on clustering a static collection of short documents [Rangrej et al., 2011, Tsur et al., 2012, or on using surface features to compute pairwise similarity between microtext [Reuter et al., 2011, Li et al., 2012.
the challenge of how to effectively cluster microtext in dynamic data streams has not been well addressed.