Python NLTK Bayesian Classifier for word sense disambiguation - 92% accuracy

Post by vietor » Wed, Dec 01, 2010, 1:02 AM UTC

dkarl wrote: post #6

vietor wrote: post #3

A blinking favicon? Seriously? I couldn't finish the article because my eyes jumped to the tab bar every 5 seconds. Has anyone else seen this elsewhere? It's new to me and I was surprised by how obnoxious it was given that the web isn't exactly a stranger to obnoxious flashing content.

It doesn't blink for me. (In case you're wondering why you're getting downvoted -- though I didn't downvote you myself.)

Post by vietor » Wed, Dec 01, 2010, 1:54 AM UTC

dkarl wrote: post #12

vietor wrote: post #11

Earlier quoted context omitted.

[EDIT: Can't edit the top message anymore, but the problem was broken browser and amusing 'blink' vs ' blink' confusion as detailed deeper in the thread. Also in chrome it doesn't appear to animate, removing the annoyance entirely.] Interesting. I asked a few coworkers if it was just me and they confirmed it. The actual favicon doesn't blink for you? http://www.litfuel.net/favicon.ico It reports itself as a 6 frame g…

I tried Firefox 3.6 out of curiosity, and it doesn't blink, even when I open the favicon itself in a browser tab. I think you must have changed your browser config at some point and forgotten about it.

Post by temugen » Wed, Dec 01, 2010, 3:51 AM UTC

terra_t wrote: post #5

92% accuracy, unfortunately, isn't good enough. Bag-of-words models perform pretty well at classification and search, and the main thing you need to improve search is to boost scores when words are close together. You might think you could improve performance by using semantically better defined features, but even 92% accuracy adds enough noise to foil your plans. It's a big problem in A.I. systems that have multiple…

Post by beagledude » Wed, Dec 01, 2010, 4:14 AM UTC

jlees wrote: post #7

I always prefer to see these things in context (how well does a naive rule-based classifier do? what's the P/R/F-score i.e. how many Apples are apples and apples are Apples? What about Apple Records?) It's still fun to remember how quick and easy something like this is though. Any interest in similar articles on named entity recognition, sentiment/topic classification and spam filtering? I've been meaning to do a few…

Post by endtime » Wed, Dec 01, 2010, 5:40 AM UTC

terra_t wrote: post #5

92% accuracy, unfortunately, isn't good enough. Bag-of-words models perform pretty well at classification and search, and the main thing you need to improve search is to boost scores when words are close together. You might think you could improve performance by using semantically better defined features, but even 92% accuracy adds enough noise to foil your plans. It's a big problem in A.I. systems that have multiple…