Logical fallacy detection and/or identification with natural-language-processing?

Question

Is there a package or methodology in existence for the detection of flawed logical arguments in text? I was hoping for something that would work for text that is not written in an academic setting (such as a logic class). It might be a stretch but I would like something that can identify where logic is trying to be used and identify the logical error. A possible use for this would be marking errors in editorial articles. I don't need anything that is polished. I wouldn't mind working to develop something either so I'm really looking for what's out there in the wild now.

Answer 1

I never heard of such a thing, and if there is, how reliable shall it be?

The software would have to be able to completely undersstand the language,

follow the argument, and determine which logical fallacy is being demonstrated.

There may be some keywords that would perhaps CLUE particular logical fallacies.

For example, everybody, everyone, should too would be typically found in a BANDWAGON

argument

arguments that use critical language towards the opposition can possibly be detected as

AD HOMINUM.