This is a set of scripts for creating nice preview page (see here: http://cs.stanford.edu/~karpathy/nipspreview/ ) for all papers published at NIPS. I hope these scripts can be useful to others to create similar pages for other conferences. They show how one can manipulate PDFs, extract image thumbnails, analyze word frequencies, do AJAX requests to load abstracts, etc.
-
Clone this repository
git clone https://github.com/karpathy/nipspreview.git -
Download nips25offline from
http://books.nips.cc/nips25.htmland move it into the folder created in step 0 -
Make sure you have ImageMagick:
sudo apt-get install imagemagick -
Run
pdftowordcloud.py(to generate top words for each paper. Output saved in topwords.p as pickle) -
Run
pdftothumbs.py(to generate tiny thumbnails for all papers. Outputs saved in thumbs/ folder) -
Run
scrape.py(to generate paperid, title, authors list by scraping NIPS .html page) -
Run
makecorpus.py(to create allpapers.txt file that has all papers one per row) -
Run
python lda.py -f allpapers.txt -k 7 --alpha=0.5 --beta=0.5 -i 100. This will generate a pickle file calledldaphi.pthat contains the LDA word distribution matrix. Thanks to this nice LDA code by shuyo! It requires nltk library and numpy. In this example we are using 7 categories. You would need to change thenipsnice_template.htmlfile a bit if you wanted to try different number of categories. -
Generate the abstract files inside abstracts/ folder using
getabstracts.py. Some user interaction may be necessary because of poorly formatted papers that make abstract extraction a pain. See script. -
Finally, run
generatenicelda.py(to create the nipsnice.html page)
WTFPL licence