mikebennett

5 ms·

1.
by mikebennett 13y ago
That is a trivial example - it easily pops out of the data with a pure freq co-occurrence measurement BUT as I said freq is only a starting point. LSI and co generate far more interesting graphs and can be mined in many ways.
2.
by mikebennett 13y ago
I used the bench marks from http://code.google.com/p/java-matrix-benchmark Decision came down to speed is reasonable, library has some other math functions I need, and time taken to build.
3.
by mikebennett 13y ago
Unfortunately not. The information extraction aspect involves heavy duty math, where the more computational resources you can throw at the problem the better. We have a bunch of servers where all the cores on the CPUs are running at max 24
4.
by mikebennett 13y ago
While we could use STT (some of our team have backgrounds in it) we sought to use the cleanest existing signal, i.e. closed captions. Part of the motivation for taking a statistical NLP approach is that it gives us more flexibility for proc
5.
by mikebennett 13y ago
Boxfish scientist & dev here. That's a really interesting question. Hopefully by opening up the API we'll enable more people to ask and answer those questions. How does social impact upon TV? How does TV impact upon social? BTW we do tr
6.
by mikebennett 13y ago
Boxfish scientist & dev here. Closed captioning does have a lot of noise in it, but we've done a lot of work to tidy that up. We also have the benefit of capturing so much data that the noise doesn't matter as much. In real-time our sys