novelty.py expects two files: firstly, a document matrix following [i,j,val] nomenclature: X[i,j]
is the number of times term j appears in document i. Secondly, appdates.csv, which has 3 columns:
document identifier, date of publication/filing, and transformed date. The transformed date should
look like YYYYMMDD so that it is a sortable integer.
This will create 2 files: after.csv and before.csv, which give the number of overlapping words
with each document 5 years before/after the focal document.
plot.py will create some helpful graphs from the above output files.
sample.7z is a 7zipped file containing the matrix and application dates for 20000 patents to use as a sample.