THE SITUATION

Everyone wants current local weather

but weather apps are often WRONG

BAYESIAN FILTERINGstep 1 develop keyword search and assemble

training set (bag of words)

step 2 construct Naive Bayes filter with training set

rinse and repeat

step 3 keyword search and pass through NB filter

RESULTS

accuracy of ~ 80-90%

cross validation > 95%

FUNDAMENTALS

rainoutside

cooliphone

0.960.68

0.410.55

lol 0.34

probability

FUNDAMENTALS

“it’s cool outside” 0.65

0.47

0.50

“my iphone is cool”

“it’s cool outside. will charge my iphone...lol!”

probability

PROCESS

LIVE tweets

ARISTOTLE SOCRATES