Do I need NLP?

Question

natural language processing

The language is not critical. The problem is as follows. There are many pieces of text like:
The decision was canceled, Denied, Documents were not submitted correctly, Incorrect number, etc. There are a lot of pieces

and they cannot be reduced to a dictionary. Matching with the pattern of "cancels" and "not [correct | correct]" seems to me not the best option.

I need to understand piece by piece that some kind of negation is going on and set the False flag.

Are there any other options? Do we need pure NLP here? Or are there other resources?

Answer 1

If something is specified, then the status of the document must clearly be.
If there is a status, you can do a "subtraction": "not positive" means "negative".
It remains to find all the "positive" (approved) statuses.

Answer 2

I don't know if a naive bayes classifier can be called NLP.
But feed this kind of texts to him, let him learn.
Code example: https://github.com/loguntsov/bayes
you can play around with your data.