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Testing.py
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import os
from datetime import datetime
#print("Using the LETOR Testing Script ")
#os.chdir("C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_three/MSLR-WEB10K\Fold1/")
##command = "C:\Strawberry\perl/bin/perl.exe mslr-eval-score-mslr.pl test.txt predictions.txt results.txt 1"
#command = "C:\Strawberry\perl/bin/perl.exe Eval-Score-3.0.pl test.txt predictions.txt results.txt 1"
command = "C:\Strawberry\perl/bin/perl.exe mslr-eval-ttest-mslr.pl results.txt results.txt sig_results.txt"
'''
os.chdir("C:\Strawberry\perl/bin/")
command = "C:\Strawberry\perl/bin/perl.exe ppm.pl install Statistics::DependantTTest"
#'''
def extractProductPrice():
FilePath = "C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_three/Experiment 2/product_prices.txt"
filehandle = open(FilePath, 'w')
file = "C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/metadata.json/MetaDataSet.txt"
counter = 0
with open(file, 'r') as fp:
for line in fp:
productId = ""
asin = line.split("asin")
if len(asin) > 1:
product = asin[1].split(",")
if len(product) > 1:
product = product[0].split(":")
start = 0
if len(product) > 1:
for c in product[1]:
if c == "'" and start == 0:
start = 1
continue
elif c == "'" and start == 1:
break
if start == 1:
productId += c
productPrice = -1
price = line.split("'price':")
if len(price) > 1:
price = price[1].split(",")
if len(price) > 1:
price = price[0]
if len(price) > 1:
productPrice = ""
for c in price:
if c != ' ':
productPrice += c
productPrice = float(productPrice)
print(productId + " " + str(productPrice))
counter += 1
# if productPrice == -1:
# print(line)
filehandle.write(productId)
filehandle.write("\t")
filehandle.write(str(productPrice))
filehandle.write("\n")
print("Found " + str(counter) + " Product Prices")
return
def splitParagraphIntoSentences(paragraph):
''' break a paragraph into sentences
and return a list '''
import re
# to split by multile characters
# regular expressions are easiest (and fastest)
sentenceEnders = re.compile('[.!?]')
if len(paragraph) >0 and paragraph !=" ":
try :
sentenceList = sentenceEnders.split(paragraph)
except TypeError:
sentenceList = []
pass
else:
sentenceList = []
return sentenceList
def writePolarityLine(filehandle1,productid,commentPolarityTotal,totalPostive,totalNegative,numSentences):
try:
filehandle1.write(productid)
filehandle1.write("\t")
filehandle1.write(str(commentPolarityTotal))
filehandle1.write("\t")
filehandle1.write(str(totalPostive))
filehandle1.write("\t")
filehandle1.write(str(totalNegative))
filehandle1.write("\t")
filehandle1.write(str(numSentences))
filehandle1.write("\n")
except IOError as e:
print("error writing for " + productid)
pass
return
def writePolarityLineNew(filehandle1,commentPolarityTotal,totalPostive,totalNegative,numSentences,newLine):
try:
filehandle1.write(str(commentPolarityTotal))
filehandle1.write("\t")
filehandle1.write(str(totalPostive))
filehandle1.write("\t")
filehandle1.write(str(totalNegative))
filehandle1.write("\t")
filehandle1.write(str(numSentences))
filehandle1.write("\t")
if newLine == 1:
filehandle1.write("\n")
except IOError as e:
print("error writing")
pass
return
def writePolarityLineInString(filehandle1,value,newLine):
try:
filehandle1.write(value)
if newLine == 1:
filehandle1.write("\n")
except IOError as e:
print("error writing")
pass
return
def extractProductPolarties():
print("Extracting Polarities for all products in Amazon Dataset")
FilePath1 = "C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_three/Experiment 2/product_polarties.txt"
filehandle1 = open(FilePath1, 'w')
filehandle1.write("ProductID TotalPolarity NumPositive NumNegative NumSentences\n")
directory = "C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_three/Product_Reviews/"
counter = 0
for filename in os.listdir(directory):
productFile = directory + filename
productid = filename.split(".")
productid = productid[0]
#print(productid)
numSentences = 0
computed = 1
inputFile = "C:\SentiTemp_2/test.txt"
try:
filehandle = open(inputFile, 'w')
except IOError as e:
print("error writing in file "+inputFile)
inputFile = "C:\SentiTemp_2/test1.txt"
try:
filehandle = open(inputFile, 'w')
except IOError as e:
print("error writing in file " + inputFile)
print("failed")
computed = 0
pass
pass
with open(productFile, 'r') as fp:
for line in fp:
row = line.split("\t")
text = ""
if len(row)>8:
text+=row[6]+"\t"
text += row[7]
#print(text)
sentences = splitParagraphIntoSentences(text)
for sent in sentences:
if len(sent)>1:
#print(sent)
numSentences+=1
filehandle.write(sent)
filehandle.write("\n")
filehandle.write("---")
filehandle.write("\n")
#print("------------------------------")
filehandle.close()
if computed == 1:
os.chdir("C:\SentiTemp_2/")
command = "java -jar SentiStrengthCom.jar sentidata C:\SentiTemp_2/ input " + inputFile
os.system(command)
fileToRead = "C:\SentiTemp_2/test0_out.txt"
commentPolarityTotal = 0
commentPolarity = 0
totalPostive = 0
totalNegative = 0
try:
with open(fileToRead, 'r') as sentiStrfp:
bIgnoreFirst = 0
for senti in sentiStrfp:
if bIgnoreFirst == 0:
bIgnoreFirst = 1
continue
sentSplit = senti.split('\t')
if sentSplit[2] == "\n":
continue
if sentSplit[2] == "---\n":
commentPolarityTotal += commentPolarity
commentPolarity = 0
else:
numPostive = int(sentSplit[0])
numNegative = int(sentSplit[1])
sentPolarity = numPostive + numNegative
if sentPolarity >= 0:
commentPolarity+=1
totalPostive+=1
else:
commentPolarity-=1
totalNegative += 1
os.remove(inputFile)
os.remove(fileToRead)
except IOError as e:
print("error writing in file " + fileToRead)
writePolarityLine(filehandle1, productid, 0, 0, 0, 0)
pass
writePolarityLine(filehandle1, productid, commentPolarityTotal, totalPostive, totalNegative, numSentences)
else:
writePolarityLine(filehandle1, productid, 0, 0, 0, 0)
counter += 1
print(counter)
filehandle1.close()
print("Found " + str(counter) + " Product Polarities")
return
def extractProductPolartiesPerRatingLevel():
print("Extracting Polarities for all products in Amazon Dataset Per each rating level")
FilePath1 = "C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_three/Experiment 2/product_polarties_Per_RatingLevel.txt"
filehandle1 = open(FilePath1, 'a')
#filehandle1.write("ProductID TotalPolarity1 NumPositive1 NumNegative1 NumSentences1 TotalPolarity2 1NumPositive2 NumNegative2 NumSentences2 TotalPolarity3 NumPositive3 NumNegative3 NumSentences3 TotalPolarity4 NumPositive4 NumNegative4 NumSentences4 TotalPolarity5 NumPositive5 NumNegative5 NumSentences5\n")
writtenProductsDict = dict()
firstLine = 0
with open(FilePath1, 'r') as fp:
for line in fp:
if firstLine == 0:
firstLine = 1
continue
else:
row = line.split("\t")
writtenProductsDict[row[0]] = 1
directory = "C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_three/Product_Reviews/"
#directory = "C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_three/Product_Reviews_Verified\Automotive/"
counter = 0
for filename in os.listdir(directory):
productFile = directory + filename
productid = filename.split(".")
productid = productid[0]
print(productid)
try:
result = writtenProductsDict[productid]
counter += 1
print(counter)
continue
except KeyError:
pass
ratingsDictionary = dict()
computed = 1
with open(productFile, 'r') as fp:
for line in fp:
row = line.split("\t")
if len(row)>5:
rating = float(row[5])
text = ""
if len(row)>8:
text+=row[6]+"\t"
text += row[7]
sentences = splitParagraphIntoSentences(text)
try:
ratingSentences = ratingsDictionary[rating]
ratingSentences.append(sentences)
ratingsDictionary[rating] = ratingSentences
except KeyError as e:
ratingSentences = sentences
ratingsDictionary[rating] = ratingSentences
#Fix it for missing ratings
if len(ratingsDictionary) < 5:
if ratingsDictionary.get(1) == None:
ratingsDictionary[1] = []
if ratingsDictionary.get(2) == None:
ratingsDictionary[2] = []
if ratingsDictionary.get(3) == None:
ratingsDictionary[3] = []
if ratingsDictionary.get(4) == None:
ratingsDictionary[4] = []
if ratingsDictionary.get(5) == None:
ratingsDictionary[5] = []
filehandle1.write(productid)
filehandle1.write("\t")
#keyIndex = 0
writingDict = dict()
inputFile = "C:\SentiTemp_2/test.txt"
try:
filehandle = open(inputFile, 'w')
computed = 1
except IOError as e:
print("error writing in file " + inputFile)
inputFile = "C:\SentiTemp_2/test1.txt"
try:
filehandle = open(inputFile, 'w')
except IOError as e:
print("error writing in file " + inputFile+" again")
print("failed")
computed = 0
pass
pass
for key, value in ratingsDictionary.items():
if value == []:
'''if keyIndex == len(ratingsDictionary)-1:
result = " 0 0 0 0 \n"
#writePolarityLineNew(filehandle1,0,0,0,0,1)
else:
#writePolarityLineNew(filehandle1, 0, 0, 0, 0, 0)
result = " 0 0 0 0 "
'''
result = "0 0 0 0 "
writingDict[key] = result
else:
numSentences = 0
for comment in value:
sentences = splitParagraphIntoSentences(comment)
for sent in sentences:
if len(sent) > 1:
numSentences += 1
filehandle.write(sent)
filehandle.write("\n")
filehandle.write("rating"+str(key))
filehandle.write("\n")
# print("------------------------------")
#filehandle.close()
#keyIndex += 1
filehandle.close()
if computed == 1:
os.chdir("C:\SentiTemp_2/")
command = "java -jar SentiStrengthCom.jar sentidata C:\SentiTemp_2/ input " + inputFile
os.system(command)
fileToRead = "C:\SentiTemp_2/test0_out.txt"
commentPolarityTotal = 0
commentPolarity = 0
totalPostive = 0
totalNegative = 0
numSentences = 0
try:
with open(fileToRead, 'r') as sentiStrfp:
bIgnoreFirst = 0
for senti in sentiStrfp:
if bIgnoreFirst == 0:
bIgnoreFirst = 1
continue
sentSplit = senti.split('\t')
if sentSplit[2] == "\n":
continue
if sentSplit[2] == "rating1.0\n":
commentPolarityTotal += commentPolarity
numSentences += 1
result = str(commentPolarityTotal)+"\t" +str(totalPostive)+"\t" +str(totalNegative)+"\t" +str(numSentences)+"\t"
writingDict[1] = result
commentPolarityTotal = 0
commentPolarity = 0
totalPostive = 0
totalNegative = 0
numSentences = 0
elif sentSplit[2] == "rating2.0\n":
commentPolarityTotal += commentPolarity
numSentences += 1
result = str(commentPolarityTotal) + "\t" + str(totalPostive) + "\t" + str(totalNegative) + "\t" + str(numSentences) + "\t"
writingDict[2] = result
commentPolarityTotal = 0
commentPolarity = 0
totalPostive = 0
totalNegative = 0
numSentences = 0
elif sentSplit[2] == "rating3.0\n":
commentPolarityTotal += commentPolarity
numSentences += 1
result = str(commentPolarityTotal) + "\t" + str(totalPostive) + "\t" + str(totalNegative) + "\t" + str(numSentences) + "\t"
writingDict[3] = result
commentPolarityTotal = 0
commentPolarity = 0
totalPostive = 0
totalNegative = 0
numSentences = 0
elif sentSplit[2] == "rating4.0\n":
commentPolarityTotal += commentPolarity
numSentences += 1
result = str(commentPolarityTotal) + "\t" + str(totalPostive) + "\t" + str(totalNegative) + "\t" + str(numSentences) + "\t"
writingDict[4] = result
commentPolarityTotal = 0
commentPolarity = 0
totalPostive = 0
totalNegative = 0
numSentences = 0
elif sentSplit[2] == "rating5.0\n":
commentPolarityTotal += commentPolarity
numSentences += 1
result = str(commentPolarityTotal) + "\t" + str(totalPostive) + "\t" + str(totalNegative) + "\t" + str(numSentences) + "\t"
writingDict[5] = result
commentPolarityTotal = 0
commentPolarity = 0
totalPostive = 0
totalNegative = 0
numSentences = 0
else:
numPostive = int(sentSplit[0])
numNegative = int(sentSplit[1])
sentPolarity = numPostive + numNegative
numSentences += 1
if sentPolarity >= 0:
commentPolarity += 1
totalPostive += 1
else:
commentPolarity -= 1
totalNegative += 1
except IOError as e:
print("error writing in file " + fileToRead)
'''if keyIndex == len(ratingsDictionary) - 1:
writePolarityLineNew(filehandle1, 0, 0, 0, 0, 1)
else:
writePolarityLineNew(filehandle1, 0, 0, 0, 0, 0)
pass
# writePolarityLine(filehandle1, productid, commentPolarityTotal, totalPostive, totalNegative, numSentences)
if keyIndex == len(ratingsDictionary) - 1:
writePolarityLineNew(filehandle1, commentPolarityTotal, totalPostive, totalNegative, numSentences,
1)
else:
writePolarityLineNew(filehandle1, commentPolarityTotal, totalPostive, totalNegative, numSentences,
0)
'''
for key, value in writingDict.items():
writePolarityLineInString(filehandle1, writingDict[key], 0)
else:
print("Problem encountered")
'''if keyIndex == len(ratingsDictionary) - 1:
writePolarityLineNew(filehandle1, 0, 0, 0, 0, 1)
else:
writePolarityLineNew(filehandle1, 0, 0, 0, 0, 0)
'''
os.remove(inputFile)
os.remove(fileToRead)
filehandle1.write("\n")
counter += 1
print(counter)
filehandle1.close()
print("Found " + str(counter) + " Product Polarities")
return
from datetime import timedelta
def divideReviewsByRatingLevelByTimePeriods(productFilePath,nPeriods,data_set_type):
productDates = []
minDate = datetime(2050, 12, 31)
maxDate = datetime(1950, 1, 1)
AllReviews = []
reviewRatingLevelTimeDict = dict()
try:
with open(productFilePath, 'r') as fp:
for line in fp:
row = line.split("\t")
AllReviews.append(row)
datesplit=[]
if data_set_type=="amazon":
# Extracting Date
datesplit = row[2].split(',')
monthDay = datesplit[0]
month = ""
day = ""
monthDone = 0
for char in monthDay:
if char != " " and monthDone == 0:
month = month + char
if char == " ":
monthDone = 1
if monthDone == 1:
day = day + char
if len(datesplit) > 1 and datesplit[1] != ' ' and len(datesplit[1]) <= 5:
year = int(datesplit[1])
month = int(month)
day = int(day)
elif data_set_type=="yelp":
found_date =0
for item in row:
if item == "::date":
found_date = 1
continue
if item == "::":
continue
if found_date == 1:
datesplit = item.split('-')
if len(datesplit)==0:
continue
#print(item)
month=int(datesplit[1])
day=int(datesplit[2])
year=int(datesplit[0])
break
currentDay = datetime(year, month, day)
productDates.append((currentDay))
if currentDay > maxDate:
maxDate = currentDay
if currentDay < minDate:
minDate = currentDay
diff = (maxDate - minDate).days
numDaysPerPeriod = int(diff / nPeriods)
timeInterval = []
timeInterval.append(minDate)
tempDate = minDate
for i in range(nPeriods):
tempDate = tempDate + timedelta(days=numDaysPerPeriod)
timeInterval.append(tempDate)
if timeInterval[len(timeInterval)-1]<maxDate:
del timeInterval[-1]
timeInterval.append(maxDate)
reviewTimeDict = dict()
numActualReviews = len(AllReviews)
for i in range(len(productDates)):
for j in range(len(timeInterval)-1):
if timeInterval[j]<= productDates[i] and productDates[i]<=timeInterval[j+1]:
try:
reviews = reviewTimeDict[j]
reviews.append(AllReviews[i])
reviewTimeDict[j] = reviews
except KeyError:
list=[]
list.append(AllReviews[i])
reviewTimeDict[j]=list
break
#Fix Missing periods
if len(reviewTimeDict) < nPeriods:
# Just adding missing keys
for i in range(nPeriods):
if reviewTimeDict.get(i) == None:
reviewTimeDict[i] = []
for i in range(nPeriods):
if reviewRatingLevelTimeDict.get(i) == None:
reviewRatingLevelTimeDict[i] = []
newCountReviews = 0
for key,value in reviewTimeDict.items():
newCountReviews+=len(value)
reviewRatingDict = dict()
for i in range(1,6):
if reviewRatingDict.get(i) == None:
reviewRatingDict[i] = []
for val in value:
rating=0
if data_set_type=="amazon":
rating = int(float(val[5]))
elif data_set_type=="yelp":
found_rating = 0
for item in val:
if item == "::stars":
found_rating = 1
continue
if item == "::":
continue
if found_rating == 1:
rating = int(item)
break
try:
reviews= reviewRatingDict[rating]
reviews.append(val)
reviewRatingDict[rating] = reviews
except KeyError:
list = []
list.append(val)
reviewRatingDict[rating]=list
reviewRatingLevelTimeDict[key]=reviewRatingDict
if numActualReviews != newCountReviews:
print("Original Count of review is "+str(numActualReviews)+" ,however after setting the periods became "+str(newCountReviews))
except FileNotFoundError:
print("Skipping file "+productFilePath)
#print("extracted periods for product Successfully")
return reviewRatingLevelTimeDict
def extractProductPolartiesPerRatingLevelPerTimePeriod(categorieList,polartiesFilePath,productBaseDirectory,category_base_directory,dataset_type,timeperiods):
print("Extracting Polarities for all products in "+dataset_type+" Dataset Per each rating level per Time Period")
#polartiesFilePath = "C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_three/Experiment 2/product_polarties_Per_RatingLevelPerTimePeriod.txt"
filehandle1 = open(polartiesFilePath, 'w')
#productBaseDirectory = "C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_three/Product_Reviews/"
count = 0
for cat in categorieList:
#catFilePath = "C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_three\categories/"+cat+".txt"
catFilePath =category_base_directory+cat+".txt"
print("Considering "+cat)
with open(catFilePath, 'r') as fp:
for line in fp:
row = line.split('\t')
productId = row[0]
productId = productId.split('\n')
productId = productId[0]
count+=1
#productId="UL3OMN_c-NXHlyb97pDifA"
productFilePath = productBaseDirectory+productId+".txt"
print(productId)
reviewRatingLevelTimeDict = divideReviewsByRatingLevelByTimePeriods(productFilePath, timeperiods,dataset_type)
if len(reviewRatingLevelTimeDict)==0:
continue
filehandle1.write(productId+"\t")
inputFile = "C:\SentiTemp_2/test.txt"
try:
filehandle = open(inputFile, 'w')
computed = 1
except IOError as e:
print("error writing in file " + inputFile)
inputFile = "C:\SentiTemp_2/test1.txt"
try:
filehandle = open(inputFile, 'w')
except IOError as e:
print("error writing in file " + inputFile + " again")
print("failed")
computed = 0
pass
pass
for key,value in reviewRatingLevelTimeDict.items():
filehandle.write("Period" + str(key)+"\n")
ratingsDictionary = dict()
ratingsDictionary = value
for key2, value2 in ratingsDictionary.items():
if len(value2) != 0:#a rating with actual comments
reviews = value2
for review in reviews:
text = ""
if dataset_type=="amazon":
if len(review) > 8:
text += review[6] + "\t"
text += review[7]
elif dataset_type=="yelp":
found_text = 0
for item in review:
if item == "::text":
found_text = 1
continue
if item == "::":
continue
if found_text == 1:
text = item
break
sentences = splitParagraphIntoSentences(text)
numSentences = 0
for sent in sentences:
if len(sent) > 1:
numSentences += 1
filehandle.write(sent)
filehandle.write("\n")
filehandle.write("rating"+str(key2)+"\n")
filehandle.close()
#if computed == 1:
os.chdir("C:\SentiTemp_2/")
command = "java -jar SentiStrengthCom.jar sentidata C:\SentiTemp_2/ input " + inputFile
os.system(command)
fileToRead = "C:\SentiTemp_2/test0_out.txt"
totalPostive = 0
totalNegative = 0
periods = []
start = 0
end = 0
writingDict = dict()
try:
with open(fileToRead, 'r') as sentiStrfp:
bIgnoreFirst = 0
for senti in sentiStrfp:
if bIgnoreFirst == 0:
bIgnoreFirst = 1
continue
sentSplit = senti.split('\t')
if sentSplit[2] == "\n":
continue
if sentSplit[2].find("Period")!=-1:
if end == 0 and start == 1:
end = 1
start = 0
if len(writingDict)<5:
for i in range(1,6):
if writingDict.get(i) == None:
writingDict[i] = "0\t0\t"
periods.append(writingDict)
if start == 0:
start = 1
end = 0
writingDict = dict()
if sentSplit[2] == "rating1\n":
result = str(totalPostive) + "\t" + str(totalNegative) + "\t"
writingDict[1] = result
totalPostive = 0
totalNegative = 0
elif sentSplit[2] == "rating2\n":
result = str(totalPostive) + "\t" + str(totalNegative) + "\t"
writingDict[2] = result
totalPostive = 0
totalNegative = 0
elif sentSplit[2] == "rating3\n":
result = str(totalPostive) + "\t" + str(totalNegative) + "\t"
writingDict[3] = result
totalPostive = 0
totalNegative = 0
elif sentSplit[2] == "rating4\n":
result = str(totalPostive) + "\t" + str(totalNegative) + "\t"
writingDict[4] = result
totalPostive = 0
totalNegative = 0
elif sentSplit[2] == "rating5\n":
result = str(totalPostive) + "\t" + str(totalNegative) + "\t"
writingDict[5] = result
totalPostive = 0
totalNegative = 0
else:
numPostive = int(sentSplit[0])
numNegative = int(sentSplit[1])
sentPolarity = numPostive + numNegative
numSentences += 1
if sentPolarity >= 0:
totalPostive += 1
else:
totalNegative += 1
if end == 0 and start == 1:
if len(writingDict) < 5:
for i in range(1, 6):
if writingDict.get(i) == None:
writingDict[i] = "0\t0\t"
periods.append(writingDict)
for period in periods:
for rateKey,ratevalue in period.items():
filehandle1.write(ratevalue)
except IOError:
pass
os.remove(inputFile)
os.remove(fileToRead)
filehandle1.write("\n")
print("Num Products " + str(count))
#if count == 50:
#break
filehandle1.close()
print("Num Products "+str(count))
print("Num Categories "+str(len(categorieList)))
return
def extractTraininTestingCategoriesForSVM():
fileToRead = "C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_three/temp.txt"
training = []
testing = []
with open(fileToRead, 'r') as fp:
for line in fp:
line = str(line.strip('\n'))
line = line.strip("(")
category = ""
for c in line:
if c =="(":
break
else:
category+=c
if len(training)==24:
testing.append(category)
else:
training.append(category)
print("Training")
print(len(training))
print(training)
print("Testing")
print(len(testing))
print(testing)
return
def extractTraininTestingCategoriesForLamdamart():
fileToRead = "C:\Yassien_RMIT PhD\Datasets\TruthDiscovery_Datasets\Web data Amazon reviews/Unique_Products_Stanford_three/temp.txt"
training = []
validating = []
testing = []
with open(fileToRead, 'r') as fp:
for line in fp:
line = str(line.strip('\n'))
line = line.strip("(")
category = ""
for c in line:
if c =="(":
break
else:
category+=c
if len(training)!=8:
training.append(category)
elif len(validating) != 11:
validating.append(category)
else:
testing.append(category)
print("Training")
print(len(training))
print(training)
print("Validating")
print(len(validating))
print(validating)
print("Testing")
print(len(testing))
print(testing)
return
#output = os.system(command)
#print(output)
print("Start")
#extractProductPolarties()
#extractTraininTestingCategoriesForLamdamart()
import subprocess
def runSpearmanExtractScript(scriptFile,R_path):
print("Running Spearman R Script")
numbers = []
try:
out = subprocess.check_output([R_path, scriptFile])
print("Command Called now Extracting numbers")
out = out.strip()
out = str(out)
out = out.split('n')
index = 0
size = len(out)
for item in out:
number = item.split('\\')
number = number[0].split(']')
number = number[1]
number = number.lstrip()
if index == size-1:
number = number.split("'")
numbers.append(float(number[0]))
else:
numbers.append(float(number))
index+=1
print(numbers)
except:
pass
return numbers
def runKenallExtractScript(scriptFile,R_path):
print("Running Kendal R Script")
numbers = []
try:
out = subprocess.check_output([R_path, scriptFile])
print("Command Called now Extracting numbers")
out = out.strip()
print(out)
out = str(out)
out = out.split("tau")
print(out)
for part in out:
number = part.split(",")
number = number[0].split('=')
if len(number) > 1:
number = number[1].lstrip()
numbers.append(float(number))
print(numbers)
except:
pass
return numbers
def runKenallExtractFromNewScript(scriptFile,R_path):
print("Running Kendal R Script")
numbers = []
try:
out = subprocess.check_output([R_path, scriptFile])
print("Command Called now Extracting numbers")
out = out.strip()
out = str(out)
#print(out)
out = out.split("[1]")
#print(len(out))
#print(out)
#text = str(out[1].split(' ')[1]).split("'")[0]
#print(text)
#kendall = float(text)
#print(kendall)
#numbers.append(kendall)
#print(numbers)
for i in range(1,len(out),2):
query_name = out[i].split('.txt')[0].rstrip().split('"')[1]
#print(query_name)
tau = out[i+1].lstrip().rstrip().split("'")[0]#(out[i+1].split(' ')[1]).split("'")[0].split('\n')[0]
tau = tau.replace('\r\n', '')
new_tau = ""
for c in tau:
if c =='\\':
break
else:
new_tau+=c
tau = new_tau
#print(tau)
try:
tau=float(tau)
except:
print("couldn't convert")
print(type(tau))
#print("ktau")
#print(tau)
numbers.append((int(query_name),tau))
'''number = part.split(",")
number = number[0].split('=')
if len(number) > 1:
number = number[1].lstrip()
numbers.append(float(number))'''
except:
pass
return numbers
def writeCorrelationRScript(destDirectory,correlationFn):
#correlationFn 1 means Kendall tau and 2 means Spearman Correlation
if correlationFn == 1:
#print("Writing Kendall tau R Script File")
rScriptFilePath = destDirectory + "R_Kendall_Script.r"
else:
#print("Writing Spearman Correlation R Script File")
rScriptFilePath = destDirectory + "R_Spearman_Script.r"
rScriptFileHandle = open(rScriptFilePath, 'w')
if correlationFn == 1:
rScriptFileHandle.write("library(Kendall)\n")
directParts = destDirectory.split('//')
print("destDirectory ")
print(destDirectory)
newDistDirect = ""
index = 0
for part in directParts:
if index == len(directParts)-1:
continue
elif index == len(directParts)-2:
newDistDirect += part+"/"
else:
newDistDirect += part
newDistDirect+= '/'
index+=1
#newDistDirect = newDistDirect.replace('//', "\\\\")
rScriptFileHandle.write("files <-list.files(")
rScriptFileHandle.write('"')
differenceDirectory = newDistDirect + "R_Difference"
rScriptFileHandle.write(differenceDirectory)
rScriptFileHandle.write('")')
rScriptFileHandle.write("\n")
rScriptFileHandle.write("size<- length(files)\n")
rScriptFileHandle.write("for (i in 1: size)\n")
rScriptFileHandle.write("{\n")
rScriptFileHandle.write("mydodo<-read.table(file.path(")
rScriptFileHandle.write('"')
rScriptFileHandle.write(differenceDirectory+"////")
rScriptFileHandle.write('"')
rScriptFileHandle.write(",files[i]))\n")
if correlationFn == 1:
rScriptFileHandle.write("print(Kendall(mydodo$V1,mydodo$V2))\n")
else:
rScriptFileHandle.write("print(cor(mydodo$V1,mydodo$V2))\n")
rScriptFileHandle.write("}\n")
rScriptFileHandle.close()
print("Finished Writing")
return rScriptFilePath
def writeCorrelationRScriptNew(destDirectory,correlationFn):
#correlationFn 1 means Kendall tau and 2 means Spearman Correlation
if correlationFn == 1:
#print("Writing Kendall tau R Script File")
rScriptFilePath = destDirectory + "R_Kendall_Script.r"
else:
#print("Writing Spearman Correlation R Script File")
rScriptFilePath = destDirectory + "R_Spearman_Script.r"
rScriptFileHandle = open(rScriptFilePath, 'w')
if correlationFn == 1:
rScriptFileHandle.write("library(Kendall)\n")
directParts = destDirectory.split('/')
newDistDirect = ""
index = 0
for part in directParts:
if index == len(directParts)-1: