a simple supervised learning algorithm to classify PATSTAT records into two categories:
- person names
- not person names
psClassify_pre.py extracts data and prepares for model fitting
psClassify_R.r fits the model and saves to .csv
alicadaly/psClassify
Assigns a probability that a name in the Patstat database belongs to a person and not to an entity that is not a person (eg. company, university)
Python