https://github.com/float-trip/wordvectors, https://github.com/float-trip/wordvectors/archive/refs/heads/master.zip
The easiest way to use these is through the included kit.py
or projector.tensorflow.org.
kit.py
can do the king - crown = man
vector arithmetic, and the projector makes the words go spinny:
(Go to https://projector.tensorflow.org -> "Load" -> Select vectors.tsv
and metadata.tsv
-> Add search query, click label -> "Isolate Points")
Lots of fun things you can do with these, like finding the Marsey you're most closely associated with or clustering everyone into houses.
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house 4 chads stay winning
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House 5 GODS, keep rocking
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Hello House 5 friend
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you forgot our ace in the hole
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How could I forget?
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Heck's yeah dude! House 4 for lyfe!
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!codecels this is way cool
unfortunately I am stuck in dependency HELL trying to get spacy to work, if anyone knows how to solve
let me know 😅 (yes I ran
python -m spacy download en_core_web_sm
and it DIDN'T WORK )Jump in the discussion.
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magnitude needs python 3.9 (
asdf install python 3.9.12 && asdf local python 3.9.12
if you haveasdf
)then it should just be
pip install pymagnitude matplotlib networkx numpy scikit-learn
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I got it with a venv now where is frequencies.json? I don't see it in the repo, I guess it contains how often each token appears?
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Any reason for not using gensim's word2vec. This sparse representation seems off. Anyway, great job.
I love your verification checks by using drama related analogies. Very fetch.
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i cant parse this information
can you do this for me?
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here's everyone's. you had the username Madelyn at the time (I thought I fixed all those ) so it might've gotten confused by that, idk if these make any sense to you
[('', 0.87592167), ('', 0.8701779), ('', 0.86970484), ('', 0.8655615), ('', 0.8646576)]
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!followers check this shit out
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HAHAHAHA
('', 0.8824042), ('', 0.87889135), ('', 0.8780602), ('', 0.8708701), ('', 0.8695579)]
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johnnybutt [('', 0.8167942), ('', 0.81444925), ('', 0.8097293), ('', 0.80772984), ('', 0.8033208)]
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lmao
@X [('', 0.89580166), ('', 0.8835933), ('', 0.88165927), ('', 0.8781101), ('', 0.87496513)]
i've barely used tho
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it's based off the context in which your username appears, so half of the data is built from mentions by others
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so many cyber-bullies
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@Seppocide [('', 0.8918634), ('', 0.8907285), ('', 0.890585), ('', 0.886626), ('', 0.88611376)]
This makes no sense tbh
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Can you give a two sentence explanation about how the associations are made? Are they used by me, used by people talking about me, or commented in posts by me? I'm really feeling too smallbrained to figure this out or what those emojis have to do with me.
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It sees the text like this:
And produces embeddings based on the context in which words appear. I prepend usernames to comments so it knows who's writing them.
The embeddings are vectors with 123 dimensions/numbers which point out to some semantic meaning. The model learns how these relate to each other, which lets it do calculations like
King - Man + Woman = Queen
orJapan - Sushi + Germany = Bratwurst
.Your emojis probably don't mean anything, just that the model didn't really correlate any with you
(just watched venture bros btw, great show lotta heart )
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[('', 0.8355314), ('', 0.835009), ('', 0.82581574), ('', 0.8225517), ('', 0.82035303)]
I don't think I've ever used any of these
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Do me!
@PalestinePhallUS love sucking peepee
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[('', 0.9293713), ('', 0.9263264), ('', 0.9179058), ('', 0.9057671), ('', 0.8905247)]
Most similar users: [('@PalestinePhallUS', 1.0), ('@G', 0.98456246), ('@PoloniumDonGER', 0.98300934), ('@sorensdonger', 0.968381), ('@sorenoell', 0.9345814)]
You are 54.92318% similar to
keyed
You are 44.1374% similar to
locked
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Thank you!
What does keyed and locked mean?
@PalestinePhallUS love sucking peepee.
@Soren explain When have we assimilated again
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Do you have user similarity info for other users?
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https://gist.githubusercontent.com/float-trip/2d9c064b433253dd2f5d5871ea03b865/raw/b4a61cd68ab269a16e169aacc9ef1f06c8b64156/gistfile1.txt
a lot are noisy like with the emojis, but a fair amount seem to make sense
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Thanks!
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When was the data from?
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it's four months old, I think from the week the foid award came out
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gang rise up
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@fartneighbor [('', 0.8762771), ('', 0.8686737), ('', 0.8664979), ('', 0.86619896), ('', 0.8643853)]
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and thats the tea, sis
yeah, these make no sense to me
(besides the womenfrickdogscoomer )
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Snapshots:
https://github.com/float-trip/wordvectors:
ghostarchive.org
archive.org
archive.ph (click to archive)
https://github.com/float-trip/wordvectors/archive/refs/heads/master.zip:
ghostarchive.org
archive.org
archive.ph (click to archive)
kit.py:
ghostarchive.org
archive.org
archive.ph (click to archive)
projector.tensorflow.org:
ghostarchive.org
archive.org
archive.ph (click to archive)
clustering everyone into houses:
ghostarchive.org
archive.org
archive.ph (click to archive)
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Fun fact: This was the first AI generated Marsey to be accepted, so very sentient considering who float trip is. It was also my first Marsey
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8990737)]
@YakubianPhysics [('', 0.8873305), ('', 0.8826114), ('', 0.8775532), ('', 0.87725824), ('', 0.87722605)]
lol I love it
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