Skip to content
master
Go to file
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 

README.md

Categorizing NIPS papers using LDA topic modeling

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

Installation

  • Install anconda package manager

  • 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

About

Categorizing NIPS papers using LDA topic modeling

Resources

Releases

No releases published

Packages

No packages published

Languages

You can’t perform that action at this time.