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The_Phew
Joined: 08/31/2004
Posts: 31,065
Likes: 73,201
The_Phew
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It's hard to characterize sarcasm/snark as 'positive' or 'negative'.

Usually there is a generational divide where posters 'of a certain age' don't understand internet humor and think it's some kind of attack on their worldview. It goes both ways as well; anyone under 50 is going to be puzzled at 'Boomer Facebook' humor like Cathy comic strips or whatever. ** Edited by The_Phew at 3/23/2024, 12:11:04 PM
Posted: 03/23/2024 at 12:09 PM ET
(In response to this post by dolph)

Thread Replies (14)

Full Thread →
AI on TSL. No kidding.
daveywoods • 03/22/24 09:02 PM ET
TSL message boards skewed? Impossible**
Hokie1992 • 03/25/24 04:00 PM ET
What are you writing this text classifier in? Using pytorch or something…
csHokie04 • 03/24/24 10:01 PM ET
Scikit-Learn to split the data in Jupyter Notebook**
daveywoods • 03/26/24 04:39 PM ET
I'll bet it's often negative. Only because negative comments are >>> +
CPVT3 • 03/24/24 12:35 PM ET
Interested
949hokie • 03/24/24 01:17 AM ET
"Hal, open the portal bay doors."**
KCHokie2 • 03/23/24 11:00 PM ET
Up till now, this kind of effort has always failed
WestyHokie • 03/23/24 06:32 PM ET
I grade this post as Negative ;)
jesuisvtguy • 03/23/24 12:52 PM ET
I can rank all of the posts from Phew, Bama and Johnny Hawk. Done.**
dolph • 03/23/24 11:22 AM ET
It's hard to characterize sarcasm/snark as 'positive' or 'negative'. ◄
The_Phew • 03/23/24 12:09 PM ET
I'll take Pogo or L'il Abner, thank you**
TomTurkey • 03/24/24 07:35 PM ET
That's why AI models are trained, they are taught who the snarks are ;)**
Vienna_Hokie • 03/23/24 02:44 PM ET
Train the model with Reddit, and 'no snark' would be considered negative.
The_Phew • 03/24/24 01:04 PM ET
Happy to help. I’m very good at gauging
Pride_and_Joy • 03/22/24 10:28 PM ET