title: Question about Latent Dirichlet Allocation (MALLET)
body: <p>Honestly, I'm not familiar with LDA, but am required to use MALLET's topic modeling for one of my projects.</p>
  
  <p>My question is: given a set of documents within a specific timestamp as the training data for the topic model, how appropriate is it to use the model (using the inferencer) to track the topic trends, for documents + or -  the training data's timestamp. I mean, is the topic distributions being provided by MALLET a suitable metric to track the popularity of the topics over time if during the model building stage, we only provide a subset of the dataset I am required to analyze.</p>
  
  <p>thanks.   </p>