Huddled Masses

My wife and I went on vacation for most of last week, so I didn’t get a whole lot done on my research.

I did some searching online for projects and papers related to SOM classifiers, and found a couple that show promise in the sense of incorporating their methods into my project, but nothing that goes beyond using the SOM itself as the classifier, and all of the articles related to SOMs seem to involve analysing the full text of documents using TF/IDF except one, which has an interesting approach to use the SOM itself to generate weights, but still analyzes the full text of the document.

I also found a couple of very good background papers including an article on what folsonomies are, and a detailed analysis of their strengths and weaknesses.

This was a slow week, but I’m ramping up for next week. I have several other papers to read, and I’m starting to look at how I can best use the SOM for strict classification, and whether or not applying a Bayes Net on top of it is the best approach. Hopefully I’ll get a start on some code for that this week.

As a side note: I did get to see the Tony Award winning Monty Python’s Spamalot in DC last week. It was excellent, and I highly recommend it only to those of you who enjoyed the movie Monty Python and the Holy Grail, from which it is lovingly ripped off.

I’m also updating my CiteULike page with all of the articles I’ve been reading, nicely tagged and with my comments on each, in case you want to follow along.

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