Trying to decide what papers you're interested in at this year's NIPS? This repo consists of an ipython notebook implementing a simple LDA topic model over paper titles. It might not help you decide, but it ought to be a lark along the way. Blog post on bayesianbiologist here.
The LDA code is adapted from Jordan Barber's blog post Latent Dirichlet Allocation (LDA) with Python
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Install anconda package manager
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In the directory containing environment.yml, execute following:
$ conda env create
- If environment.yml gets update in git repo, remember to update the env:
$ conda env update
- Next activate the new conda environment:
source activate nips_papers_LDA
- Launch the notebook server:
ipython notebook