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You say that so casually. As someone with no experience in NLP, do you just have topic model algo's or a toolkit lying around? Going on your website this isn't
by jkaunisv1 12y ago
You say that so casually. As someone with no experience in NLP, do you just have topic model algo's or a toolkit lying around? Going on your website this isn't your field of expertise, have you worked on this stuff in the past or just a hobby?
- joeroot 12y agoEnough to get by! I worked on this throughout university, and now at my startup. I was slightly blasé however! The corpus is tiny (173 episodes: http://www.chakoteya.net/ds9/episodes.htm http://www.chakoteya.net/ds9/episodes.htm), so a topic model is unlikely to yield anything valuable. There are probably around 10-15 arcs, and simple clustering could be better -- but this is purely hypothetical. In this case, it's simply curiosity. If you're interested in tools, Mallet (http://mallet.cs.umass.edu/ 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/BleiNJ03.pdf http://machinelearning.wustl.edu/mlpapers/paper_files/BleiNJ...) is a great academic starting point.
- jkaunisv1 12y agoCool, thanks!