def doMetrics(Display=False, WS=False, Ver=2):
utils = Utils(Display=Display, WS=WS, Ver=Ver)
c = Clasificator(Ver=Ver)
if Ver == 2:
base_save = "./res/statistics/Metrics"
else:
base_save = "./res/statistics2/Metrics"
(posWords, negWords, posI, negI, tokenizedComm) = utils.process()
matrix = {}
for i in range(0, 30):
train_path = "./resources/statistic/train" + str(i) + ".txt"
test_path = "./resources/statistic/test" + str(i) + ".txt"
(Metrics, num) = c.process(posWords, negWords, posI, negI,
tokenizedComm, train_path, test_path)
c.saveMetrics(Metrics, base_save + str(i) + ".txt")
matrix[i] = num
return matrix
posWords = [word for (word, val) in mydicposSorted]
negWords = [word for (word, val) in mydicnegSorted]
return (posWords, negWords, list(positiveI), list(negativeI), tokenizedComm)
if __name__ == "__main__":
display = False
ws = False
ver = 2
try:
opts, args = getopt.getopt(sys.argv[1:], "wdv", [])
except getopt.GetoptError:
print "Invalid arguments"
sys.exit(2)
for opt, arg in opts:
if opt == "-w":
print "Webservice Mode"
ws = True
elif opt == "-d":
display = True
elif opt == "-v":
ver = 1
utils = Utils(Display=display, WS=ws, Ver=ver)
classify = Clasificator(Ver=ver)
(posWords, negWords, posI, negI, tokenizedComm) = utils.process()
(train, test) = classify.load_train_test_set()
(Metrics, num) = classify.process(posWords, negWords, posI, negI, tokenizedComm)
classify.saveMetrics(Metrics)
