Created
August 1, 2013 09:18
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require 'rubygems' | |
require 'naive_bayes' | |
cls = NaiveBayes.new(:yes,:no,:maybe) | |
#put in words to ignore inside single quotes separated by commas | |
file=File.readlines('train_alc.txt') | |
temp = " " | |
temps = 2 | |
#classifies tweets from each row | |
file.each do |line| | |
a = line.split("\t") | |
d = a[0].split(' ') | |
counter=0 | |
if !d.empty? | |
d.each do | |
# puts a[1] | |
# puts d[counter] | |
if a[1].to_i == 0 | |
cls.train(:no,d[counter]) | |
print d[counter] | |
puts "0" | |
end | |
if a[1].to_i == 1 | |
cls.train(:yes,d[counter]) | |
print d[counter] | |
puts "1" | |
end | |
if a[1].to_i == 2 | |
cls.train(:maybe,d[counter]) | |
print d[counter] | |
puts "2" | |
end | |
counter=counter+1 | |
end | |
end | |
temp = d[counter] | |
temps=a[1] | |
end | |
# puts temp | |
# puts temps | |
tester = File.readlines('comp_alc.txt') | |
File.open('alcohol_classify.txt','a') do |s| | |
tester.each do |line| | |
b = line.split("\t") | |
# puts b[0] | |
r = b[0].split(' ') | |
if !r.empty? | |
s.print cls.classify(r) | |
s.puts "" | |
print r | |
# puts cls.classify(r) | |
end | |
end | |
end | |
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