## - December 10, 2015
## - An interactive classifier
import sys
from classifier import Classifier
print "\nPlease wait while the training data is loaded.."
myClassifier = Classifier()
myClassifier.load()
print "Ready for input"
filename = raw_input("Enter a file name or a directory (type \"quit\" to quit) > ")
while filename != "quit":
if ".txt" in filename:
with open(filename, 'r') as infile:
clsfy = myClassifier.classify(infile)
if clsfy > 0:
print "Positive! Weight = {0}".format(clsfy)
elif clsfy < 0:
print "Negative! Weight = {0}".format(clsfy)
elif clsfy == 0:
print "Undertermined"
else:
myClassifier.classify_reviews(filename + "*.txt")
filename = raw_input("Enter a file name or a directory > ")
## - Comp 4710 - Data Mining ## - Prof: Dr. Carson K. Leung ## - Authors: Trevor Blanchard, Stefan Harris, Brett Small, Sam Peers ## - Sentiment Miner ## - December 10, 2015 from classifier import Classifier from timer import Timer myClassifier = Classifier() myTimer = Timer() myTimer.start_timer() myClassifier.load() folderpath = "Test/positivetestdata/*.txt" myClassifier.classify_reviews(folderpath) folderpath = "Test/negativetestdata/*.txt" myClassifier.classify_reviews(folderpath) myTimer.end_timer() myTimer.summary()
