Prior works (Iwata et al., 2010;Pruteanu-Malinici et al., 2010;Saha and Sindhwani, 2012;Schein et al., 2016) have investigated Bayesian modeling of topics in time-stamped documents.
blei and Lafferty (2006) developed a LDA based dynamic topic model (DTM) to capture the evolution of topics in a time sequence collection of documents; however they do not capture explicitly the topic popularity and usage of specific terms over time.