http://www.oreilly.com/pub/e/3210
Tuesday, November 11, 2014
/ 10AM PT, San Francisco
"That's stupidly
awesome" or "You're such a jerk :)"
The above is obviously
positive, but how would you train a computer to figure that out? So much of our
language is contextual and has subtle hints of sentiment that this is a tough
problem in natural language processing.
Though there is a great
algorithm called Support Vector Machines that can find a close solution! And
there's a great Ruby library for you to use as well.
Join us for this webcast where
we'll go detecting sentiment in tweets using support vector machines. At least
join us for the various bouts of swear words and confusing lexicon of the
English language.
