tweather
Post on 24-May-2015
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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
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