"Having only ever played with Latent Dirichlet Allocation using gensim in python, I was very interested to see a nice example of this kind of topic modelling in R. Whenever I see a really cool analysis done, I get the urge to do it myself. What better corpus to do topic modelling on than the Enron email dataset?!?!? Let me tell you, this thing is a monster! According to the website I got it from, it contains about 500k messages, coming from 151 mostly senior management users and is organized into user folders. I didn’t want to accept everything into my analysis, so I made the decision that I would only look into messages contained within the “sent” or “sent items” folders."
'There are a number of possibilities:
- Think about how the emphasis of monetary policy changes over time. What is the effect of the financial crisis on one of more central banks.
- The effect that new members or a new hear has on policy.
- The common characteristics of central bank policy. How does this tie in with co-movement of international assets?