Edit: as with last week, the margin is only roughly accurate. I’d also like to include the number of likes a post gets as a magnifier, but the json my little app uses to process the data doesn’t include likes.
Additional: graph showing the sentiment over time. Each bar is a three minute period so you can see mood swings as the game went along. Major patches of negativity are the start of the second quarter, and when Howlett had a couple of bad inside 50s.
Edit: also worth noting that the game actually starts around an hour into the life of the thread, so roughly that very small negative bar just before everything starts going mental.
I don’t know how big a server farm you need for an AI that can understand an acrostic that says “HONOUR CONOR” is a positive comment, but I know I can’t afford it
I suppose a rolling average of the sentiment would probably be the best way to do that. Hmmm.
Rolling average was probably the wrong thing to call it, to be honest, it’s basically the sum of post sentiment over the last minute (so each post is reflected in the total score for a a minute), which is more of a rolling total. That means it will always end up at zero as posts drop out of range at the end of the game. An average over time would have ended up substantially in the positive for the game though, gloomers or not.
It would probably help if I could remember the names for all this kind of ■■■■ from first year stats, but it’s been a while.
Not sure why the image wouldn’t expand. It was originally an imgur link, but now it’s a blitz hosted image. Don’t know what the deal is with that.