I have a database of newspaper articles about the water policy from 1998 to 2008. I would like to see how the newspaper release changes during this period. My question is, should I use Dynamic Topic Modeling or Topic Over Time model to handle this task? Would they be significantly better than the traditional LDA model (in which I fit the topic model base on the entire set of text corpus, and plot the trend of topic based on how each of the document is tagged)? If yes, is there a package I could use for the DTA/ToT model in R? I have a database of newspaper articles about t