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Arimbr
searching PlanetScale…
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14 ms
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91.
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by
Arimbr
7y ago
Thanks man! Right, unfortunately it was not trained on r/SiberianCats. It was trained on what Reddit said are the most popular 4k subreddits. To make it more useful, I need to collect more data from less popular subreddits :)
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Arimbr
7y ago
lol
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Arimbr
7y ago
Unfortunately, I trained only on what Reddit told me are the most popular 4k subreddits :) It was not trained on r/DevelEire :/ So, I think i need to train it on more subreddits to make it more useful. Thanks for sharing!
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Arimbr
7y ago
Cool man! Thanks for sharing :) I wasn't familiar with the chunking approach. I will read more! Regarding BERT, it indeed may perform better if fine tuned correctly. For a baseline fastText is great because it is super fast and runs on
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by
Arimbr
7y ago
thanks! That helps a lot, although I am not familiar with that area of knowledge. Indeed, I got some ML metrics on a test split that gives me an idea of its accuracy :) But it's just an estimation, so indeed I am looking out for feedba
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Arimbr
7y ago
Great idea! Will add that :)
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Arimbr
7y ago
Right! I used the official Reddit API. I created an APP, got the credentials for the API. Then used the Python library PRAW to consume the API. https://praw.readthedocs.io/en/latest/ It took me 36 hours to collect
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Arimbr
7y ago
;)
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Arimbr
7y ago
Interesting! I didn't know about that subreddit. Which text did you try? :)
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Show HN: Subreddit Finder - Trained on 4M Reddit Posts from 4K Subreddits
(valohai.com)
152 points
by
Arimbr
7y ago
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79 comments
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Top 50 French Engineering Teams Have a Blog
(guriosity.com)
2 points
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Arimbr
7y ago
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0 comments
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The best 40+ French engineering blogs - 5 reasons to follow them
(medium.com)
2 points
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Arimbr
7y ago
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0 comments
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Banging Your Head Against an AngularJS Issue? Try This
(nathanleclaire.com)
3 points
by
Arimbr
12y ago
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0 comments