Treemap of the top 30 note topics we’ve classified so far from nostr.wine over ~12 hours of kind 1s. I suspect we are over labeling technology a bit but then again everything is technology. image

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nobody 2 years ago
I’d be interested to see if technology and bitcoin overlap some, but this seems to disprove the “nobody talks about anything but bitcoin” trope so many complain about. I think it’s more likely that the biggest accounts talk about bitcoin, but not most accounts, if that makes sense.
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nobody 2 years ago
I think it goes to show a lot of content is already here. The effort must be put into curating your own feed. This chat made me feel bullish on #Nostr . Thanks for posting this experiment. ❤️
I’m going to add back programming as a topic as well because I think technology is a bit generic for posts like @e6ddbf8c64cc8ef864df0d8ec0c371e8410909d67ac5c3f071f8ad0207e80262
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nobody 2 years ago
I’ve been trying to hashtag all my code related posts #coding to help with discovery. I’ll bet this tool will be useful in identifying the best labels (by common use) to use. Such as programming vs coding.
Other is a place holder because I’m only showing the top 30. So the 7% in other are a mix of topics shared by <0.77% of all notes. At 50 topics (in this photo), you’ll see other drops down to 2%. At 100 topics, it’s barely visible and unlabeled. image
It’s very cool to see… I found it funny to see “Health & Fitness” at the bottom of the list… even a lil sad… #HealthEqualsWealth #YouAreWhatYouEatEATS #WhenYouFeelGoodYouDoGood
Ahhh perhaps a browser/javascript issue? Wasn’t trying to be sassy just wanted you to see/play with the data. Short answer: it depends on how it’s worded! image
Yeah I had a typo in coffee. And I'm from Iran, we have many unnamed issues when it comes to internet. And everything else tbh.
For now anyone can access the results here as a guest: Long term our plan is to allow filter.nostr.wine subscribers to create custom feeds using our topics/language/sentiment labels through our relay. We can also offer the classifier as an API (that will not be free) and classification results through an API (perhaps a freemium model). All of that is TBD. This is my weekend proof of concept.
Uhm gotta pump the woodworking talk, I can't see it in any category in here 😁
surface greetings and bovine tech worship has replaced meaningful discussion god worship... are you really all this shallow or is it the fear of losing your #socialcapital that turns you into voiceless conformists ? signs of things to come... image
Unfortunately, they will always be underrepresented because we aren’t currently looking at posts with ONLY images at all (mostly memes) We simply pull the content type from the url and set it aside for later classification. Eventually…
As with any model, there are no guarantees but explicit hashtags of a common topic/similar to a common topic definitely carry weight.
music is really low! let's make this place a little bit more vibey =)
Nothing yet, still a very early experiment. Lots of refining to go before its production ready but we will try to offer them in as many ways as possible!
Ahh, ok so it's not that new labeling nip32 then yet? I was reading up on that. It's a little bit confusing now to use labels the 'right' way but I'm pretty excited that some smart people are giving this a lot of thought..
Actually surprised Bitcoin is only the third biggest topic. But positivity surprised at the same time... a wider range of topics being discussed = Nostr appealing to a wider range of people.