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Helper.py
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Helper.py
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'''
Created on Nov 2, 2015
@author: zahran
'''
import re
import random
class Helper:
ALPHABET_ONLY = True
FILTER_STOPWORDS = True
LOWER_CASING = True
USE_UTF8 = True
@staticmethod
def clean(str):
#s = ' '.join(e.lower() for e in str if e.isalnum())
#s = str.lower().replace(',','').replace('.','').replace('-',' ').replace('"','').replace('(','').replace(')','').replace(':','')
#s=' '.join(s.split())
str = str.lower().strip()
str = re.sub(r'\d+\.\d+', ' NUM ', str) #5555.5555
str = re.sub(r'\d+', ' NUM ', str) #55555
str = re.sub(r'[^a-zA-Z\']',' ',str)
str = re.sub(r'\s+',' ',str)
return str
@staticmethod
def parseMovieReviewsData(trainName, valName, testName): # read and parse datasets into lists
trainingData = []
trainingLabels = []
valData = []
valLables = []
testData = []
testLabels = []
tfile = open(trainName)
for line in tfile:
if(Helper.USE_UTF8):
try:
line = unicode(line, "utf-8")
except:
continue
parts = line.rsplit(',', 1)
if(parts[1].strip() == '+'):
trainingLabels.append(1)
else:
trainingLabels.append(-1)
trainingData.append(Helper.clean(parts[0]))
vfile = open(valName)
for line in vfile:
if(Helper.USE_UTF8):
try:
line = unicode(line, "utf-8")
except:
continue
parts = line.rsplit(',', 1)
if(parts[1].strip() == '+'):
valLables.append(1)
else:
valLables.append(-1)
valData.append(Helper.clean(parts[0]))
tfile = open(testName)
for line in tfile:
if(Helper.USE_UTF8):
try:
line = unicode(line, "utf-8")
except:
continue
parts = line.rsplit(',', 1)
if(parts[1].strip() == '+'):
testLabels.append(1)
else:
testLabels.append(-1)
testData.append(Helper.clean(parts[0]))
return trainingData,trainingLabels,valData,valLables,testData,testLabels
@staticmethod
def parseGenderBlogDataset(fileName):
trainingData = []
trainingLabels = []
data = open(fileName,'r')
example = ''
for line in data:
line = line.strip()
if(line != ''):
example += line
else:
parts = example.rsplit(',', 1)
label = parts[-1].strip()
rawData = []
cleanData = Helper.clean(parts[0])
example = ''
if(label == 'M'):
trainingLabels.append(1)
trainingData.append(cleanData)
elif(label == 'F'):
trainingLabels.append(-1)
trainingData.append(cleanData)
else:
continue
# w = open('genderBlogDataset.txt','w')
# for line in trainingData:
# w.write(line+'\n')
# w.close()
return trainingData, trainingLabels
@staticmethod
def parseGenderBlogDatasetWithLabels(fileName):
trainingData = []
data = open(fileName,'r')
example = ''
for line in data:
line = line.strip()
if(line != ''):
example += line
else:
parts = example.rsplit(',', 1)
label = parts[-1].strip()
rawData = []
cleanData = Helper.clean(parts[0])
example = ''
if(label == 'M'):
trainingData.append([cleanData, 1])
elif(label == 'F'):
trainingData.append([cleanData, -1])
else:
continue
# w = open('genderBlogDataset.txt','w')
# for line in trainingData:
# w.write(line+'\n')
# w.close()
random.shuffle(trainingData)
trainingLabels = [t[-1] for t in trainingData]
trainingData = [str(t[0:-1]).replace('[', '').replace(']', '').replace('\"', '') for t in trainingData]
return trainingData, trainingLabels
def main():
Helper.parseGenderBlogDataset('blog-gender-dataset.csv')
if __name__ == '__main__':
main()