AI on TSL. No kidding.
I'm working on a TSL AI, just for fun. I ran this by Will, he said OK.
I'm trying to build a sentiment analysis tool to evaluate TSL message board posts for Positive, Negative, or Neutral. If it works, I'll give it to TSL (or I'll run it for TSL). It will be interesting to see how message board sentiment trends through the season. This would be run on the bulk of the board, not labeling individual messages. Something like "this week the message board is 63% more positive than last week". This is achieved by grading individual messages, but only aggregate data would be reported.
But assessment of positive or negative is obviously a subjective evaluation, which is why I'm here asking for help.
I'm looking for people to "grade" the AI training data. That means looking at a few hundred rows of data and marking them as positive, negative, or neutral. The way AI works, if we give it human input on some data, it will be able to go ahead on an automated basis.
If I train all the data myself, the sentiment analysis will be skewed by my bias. And anyway I could use help looking at all this data.
If you're interested, email me and I'll send you 300 rows of messages to look at. You can do as many or as few as you like. This is simply looking at the data I have pulled off the message board for subject line and message, and grading that message as positive, negative, or neutral.
Please help if this absurd nerdery interests you.
my email address is my username at gmail dot com.
Also I should mention -- Pretty good chance this never works, but let's try. It's neat.
14 Replies
2y
else?
(In response to this post by daveywoods)
2y
People usually comment on negatives more than positives IMO
Like online reviews or whatnot
(In response to this post by daveywoods)
2y
Maybe AI will be different. In the past, algorithims struggled with things like negative posts about positive things, or vice versa, and sarcasm. I suspect the latter will be a challenge on TSL.
This issue used to drive us crazy at my former company on automated analysis of media stories and employee engagement survey comments.
(In response to this post by daveywoods)
2y
joking - sounds like a cool project and could be of really nice use to help eventually moderate as well.
** Edited by jesuisvtguy at 3/23/2024, 12:53:15 PM
(In response to this post by daveywoods)
2y
(In response to this post by daveywoods)
2y
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
(In response to this post by dolph)
2y
(In response to this post by The_Phew)
2y
It's a well-known fact that if you want help on Reddit, don't just politely ask your question, or your query will be ignored. Instead, make a smart-ass post explaining why a wrong answer is 'the way', and posters will line up to correct you with the actual correct answer.
(In response to this post by Vienna_Hokie)
2y
positivity and negativity.
(In response to this post by daveywoods)