beagledude

14 ms·

1. 121.▲
   by beagledude 16y ago

   It was actually a method of using wikipedia to build your corpus for any ambiguous word to automatically build some word sense disambiguation in your application. One word was just a simple example of using that data.
2. 122.▲
   Python NLTK Bayesian Classifier for word sense disambiguation - 92% accuracy(litfuel.net)

   65 points by beagledude 16y ago|25 comments
3. 123.▲
   by beagledude 16y ago

   I dont think anyone is taking this literally, but coming away with the point that it takes time to develop ideas and not to expect instant success even if you think you're the cat's pajamas.
4. 124.▲
   by beagledude 16y ago

   "MySpace is huge in Japan"
5. 125.▲
   by beagledude 16y ago

   legit stuff
6. 126.▲
   by beagledude 16y ago

   I'm going to stay ignorant and not read this article.
7. 127.▲
   by beagledude 16y ago

   Really awesome looking app. I've definitely be interested in using it. I really like the 4 column dashboard.
8. 128.▲
   by beagledude 16y ago

   mongo is still a joke for most applications
9. 129.▲
   by beagledude 16y ago

   I admire the gusto of these guys
10. 130.▲
    by beagledude 16y ago

    indeed! :) played with it last night and it worked right out of the box. Definitely going to be trying this out for all my CRUD stuff. nice work moo.
11. 131.▲
    by beagledude 16y ago

    awesome work, I've always avoided the php orm's because of the bloat factor. Gonna check it out now.