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Yeah, the biggest initial challenge with any kind of supervised learning thing is finding the dataset. On a personal / hobby level, creating the amount of data you'd need for this kind of thing would be completely out of reach - and that's even assuming your assumptions are correct to begin with :-)
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@AlmondSauce it really is out of reach, I mean, technically no (you get what I mean) but in all practical terms it would be a (quoting Jian Yang) "that is a very boring work"
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@Bybit260 MMGA Make Metsico Great Again.
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@uyouthe I plead not guilty your honor
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@Nanos made me think of my friends from different parts here in the U.S for some reason:
Friend showing me a picture of his family
"This is me (John Stevens), and this is my mom Clara Rogers, this is my dad Mark Hamsworth, this is my sister Clara Jackson OH and this is grandma, Petunia Willsbourgh"
Me: "Are y'all adopted? Not one single person here has the same lastname" 0.o
I have seen this shit so many fucking times and it always trip me the fuck out
Random af project idea that will see me burned alive by the internet (because if I do it I intend to put it in dev.to which is full of "that offends me" people):
Generate a classifier that will scan text from different websites and categorize where the person might be from.
Example: "plz send bob and vagene" <--- we all know
"mami que ricas nalgas" <--- Mexican for the most part.
"there, their, they're and similar text" <--- my fellow Americans for the most part....
"cyka blyat" <--- 0.o we know
"pompous statement about the way Americans do shit" <--- European, meaning, from Yurop.
"angry as fuck rant/banter" <-- German
"lol whatever Trump is the best president ever" <--- some moron from the south of the U.S (south much like myself but I am not a Trump supporter nor a republican)
etc etc.
What makes this complex is that I would have to put together my own dataset in the highly likely chance of something like that not existing already for me to use.
Can you imagine the chaos?
random
tee-hee