[quantadev]

Sincerity score on a resume? I can't tell if you're joking or not. I mean yeah, any sentence that ends in something like "...yeah, that's the ticket." would be detectable for sure, but I'm not sure everyone is as bad a liar as Jon Lovitz.

[inkyoto]

Are you speaking hypothetically or from your own experience? The sentiment analysis is a thing, and it mostly works – I have tested it with satisfactory results on sample datasets. It is relatively easy to extract the emotional context from a corpus of text, less so when it comes to resumes due to their inherently more condensed content. Which is precisely why I mentioned ethical considerations in my previous response. With the extra effort and fine tuning, it should be possible to overcome most of the false negatives though.

[quantadev]

Sure AI can detect emotional tones (being positive, being negative, even sarcasm sometimes) in writing, so if you mean something like detecting negativity in a resume so it can be thrown immediately in the trash, then I agree that can work. Any negative emotionality is always a red-flag.

But insofar as detecting lies in sentences, that simply cannot be done, because even if it ever did work the failure rate would still be 99%, so you're better off flipping a coin.