I understand NLP, at least at a basic level. I know the main steps, like this...
Tokenization
Lower casing
Stop words removal
Stemming
Lemmatization
I'm wondering if there is a standardized way of parsing a Word document full of text, and trying to predict if the renter will pay all their monthly bills, based on FICO Score, credit score, ability to pay monthly bills, any historical late payments, payments in collection, debt to asset, bankruptcy, etc. Is there a generalized way to do this in Python, using ML/AI? I'm not looking for an enterprise solution, of course, but more of a basic academic experiment/exercise, with basic data sources and basic sourcing recommendations. Thanks!
------------------------------
Ryan Shuell
------------------------------
#GlobalAIandDataScience#GlobalDataScience