joeroot
Joined 16 years ago
Joined 16 years ago
If you're interested in tools, Mallet (http://mallet.cs.umass.edu/) is a fairly good place to start, and the original LDA paper by Blei, Ng & Jordan (http://machinelearning.wustl.edu/mlpapers/paper_files/BleiNJ...) is a great academic starting point.
I wonder how easily arcs can be identified. I'll try running the transcripts through a topic model this evening.
Personally, as a huge DS9 fan, I think that you should watch every episode. Each episode adds colour and depth to the series' characters, and in my opinion makes it the most rewarding Star Trek series.
Our main issue has been that in person meetings and calls are difficult to log and keep track of, and as we've progressed towards those its become less and less useful.
If most of your interactions happen via email however, Streak is a great flexible (and currently free) tool.
We then send you an email with a link to the content and an explanation behind our reason. If the user replies or reads the link, we keep going. If they don't we stop! Ultimately to do this well, we want to have a conversation with the subscriber (almost like bibliotherapy).
For example, were someones Twitter data points indicative of an interest in Programming Languages and Education, we might send them http://worrydream.com/#!/LearnableProgramming, with a brief explanation on why. If they reply saying they don't like long form, old content, then we'd make sure to adjust the next article accordingly. Hope that helps!
joeroot.com github.com/joeroot twitter.com/joeroot