My groupchats use those react emoji all the time. Maybe they could train a model to classify with those. Then use that classifier to help RL models into being funny.
All my funniest groupchats are on Snapchat.
I don’t think this would be ethical, but it could be effective.
Humor is rather subjective, but if you feel you have THE material for “Humor bot 2000”, then there are ways of fine-tuning your own model with exactly that kind of Humor.
I haven’t tried them, but if they suck ass to setup, maybe your snapchat buds could help out.
https://github.com/xming521/WeClone (can be used on free Colab apparently) https://github.com/mindverse/Second-Me
These are meant to create an ‘Avatar’ to represent a user, but you can train them with anything. Not sure how they handle audio/pics or the important Timing parts involved in humor, but both finetune a model with your personal training set, so extract your funny shit in the right format and go for it ;-)
Yo thanks for the resources! I never even considered doing it myself. Kinda scared it would reflect me too well yk lol.
I may give this a shot.