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As a frequent Redditor, this AI is going to be very witty.

They should limit it to top comments only, and for training, you might as well assume 90% of top comments are sarcastic/tongue in cheek. Or let a user dial the sarcasm/wittiness/seriousness as they want it, kind of like TARS from 'Interstellar'.



“Witty” isn’t the first thing that comes to mind to describe reddit. I do look forward to hearing Siri telling me to get raped every time I summon it.


The top comments are witty. Like everything, 90% of Reddit is crap.


I think they are being sarcastic - or at least that's the way that I read it.


That was first thought. Curious How does NN or any other model capture sentiment ?


There are models for sentiment analysis (mostly using Twitter data, just enter sentiment analysis in Google Scholar) and you can use things like sentimentAPI: https://github.com/mikelynn2/sentimentAPI

I have at least one paper about sarcasm in my Zotero (link to PDF): http://www.aclweb.org/anthology/P/P11/P11-2.pdf#page=621

If you don't want to click on that nondiscript looking link, the title is: "Identifying Sarcasm in Twitter: A Closer Look"


It's a tough problem. You need a lot of context data. Reddit is definitely a good set to train on.




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