def extractInfo(sent):
degreeModel = []
degreeSent = JobSentence(sent.split())
labeler.labelSentence(degreeSent)
# print degreeSent.printSentenct()
# f.write( degreeSent.printSentenct().get_string() +"\n\n" )
labeledArray = degreeSent.getLabeledArray(labeler.ontoDict)
# print degreeSent.printLabeledArray()
matcher = matchSent(degree_patterns.degree_matchers, labeledArray)
if matcher is not None:
output = matcher.output()
degreeModel.extend(output)
matcher = matchSent(major_patterns.major_matchers, labeledArray)
if matcher is not None:
output = matcher.output()
degreeModel.extend(output)
matcher = matchSent(prefer_patterns.prefer_matchers, labeledArray)
if matcher is not None:
output = matcher.output()
degreeModel.extend(output)
return degreeSent, degreeModel
def processTitle(title):
titleSent = JobSentence(title.lower().split())
labeler.labelSentence(titleSent)
labeledArray = titleSent.getLabeledArray(labeler.ontoDict)
# print titleSent.printLabeledArray()
matcher = matchSent(matchers, labeledArray)
return matcher
def processTitle(title):
titleSent = JobSentence(title.lower().split())
labeler.labelSentence(titleSent)
labeledArray = titleSent.getLabeledArray(labeler.ontoDict)
# print titleSent.printLabeledArray()
matcher = matchSent(matchers, labeledArray)
return matcher
def extractInfo(sent):
degreeModel = []
degreeSent = JobSentence(sent.split())
labeler.labelSentence(degreeSent)
# print degreeSent.printSentenct()
# f.write( degreeSent.printSentenct().get_string() +"\n\n" )
labeledArray = degreeSent.getLabeledArray(labeler.ontoDict)
# print degreeSent.printLabeledArray()
matcher = matchSent(degree_patterns.degree_matchers, labeledArray)
if matcher is not None:
output = matcher.output()
degreeModel.extend(output)
matcher = matchSent(major_patterns.major_matchers, labeledArray)
if matcher is not None:
output = matcher.output()
degreeModel.extend(output)
matcher = matchSent(prefer_patterns.prefer_matchers, labeledArray)
if matcher is not None:
output = matcher.output()
degreeModel.extend(output)
return degreeSent, degreeModel
def getLabeledSentence(data_set_name, outfileName):
labelGrammer = createDegreeGrammar()
data = datautils.loadJson(data_set_name)
pattern1 = [
"DE_LEVEL",
StarRepetition([",", "DE_LEVEL"]),
QuestionRepetition(["OR", "DE_LEVEL"]), "DEGREE"
]
fst = TokenRegex(pattern1)
matchSum = 0
f = open(outfileName, "w")
for item in data:
# print item
words = item[2].split()
degreeSent = JobSentence(words)
labelGrammer.labelSentence(degreeSent)
labeledArray = degreeSent.getLabeledArray()
array = [x[0] for x in labeledArray]
print item[0], ": ", array
match = fst.match(array)
print "match=", match
if match:
matchSum += 1
# printTrack(track)
f.write(item[0] + "\n\n")
table = degreeSent.printLabeledArray()
# f.write( table.get_string() + "\n\n" )
print "match rate =", str(matchSum) + "/" + str(
len(data)) + "=", matchSum / len(data)
def getLabeledSentence(data_set_name, outfileName):
labelGrammer = createDegreeGrammar()
data = datautils.loadJson(data_set_name)
pattern1 = ["DE_LEVEL", StarRepetition([",","DE_LEVEL"]), QuestionRepetition(["OR","DE_LEVEL"]),"DEGREE" ]
fst = TokenRegex(pattern1)
matchSum = 0
f = open(outfileName, "w")
for item in data:
# print item
words = item[2].split()
degreeSent = JobSentence(words)
labelGrammer.labelSentence(degreeSent)
labeledArray = degreeSent.getLabeledArray()
array = [x[0] for x in labeledArray ]
print item[0], ": " ,array
match = fst.match(array)
print "match=", match
if match :
matchSum += 1
# printTrack(track)
f.write ( item[0] + "\n\n")
table = degreeSent.printLabeledArray()
# f.write( table.get_string() + "\n\n" )
print "match rate =" , str(matchSum)+"/"+str(len(data)) + "=", matchSum/len(data)
def labelSent(labeler, matcher, sent):
degreeSent = JobSentence(sent.split())
labeler.labelSentence(degreeSent)
# print degreeSent.printSentenct()
labeledArray = degreeSent.getLabeledArray(labeler.ontoDict)
# print degreeSent.printLabeledArray()
i = matcher.findMatching(labeledArray)
return i, degreeSent
def labelSentByMatchers(matchers, sent):
degreeSent = JobSentence(sent.split())
labeler.labelSentence(degreeSent)
# print degreeSent.printSentenct()
# f.write( degreeSent.printSentenct().get_string() +"\n\n" )
labeledArray = degreeSent.getLabeledArray(labeler.ontoDict)
# print degreeSent.printLabeledArray()
matcher = matchSent(matchers, labeledArray)
return degreeSent, matcher
def labelSent(sent):
tokens, posTags = tagSentence(sent)
degreeSent = JobSentence(tokens, posTags)
labeler.labelSentence(degreeSent)
# print degreeSent.printSentenct()
return degreeSent
def labelDegreeSet(data_set_name, outfileName):
labelGrammer = createDegreeGrammar()
data = datautils.loadJson(data_set_name)
f = open(outfileName, "w")
for item in data:
# print item
words = item[2].split()
degreeSent = JobSentence(words)
labelGrammer.labelSentence(degreeSent)
print item[0]
f.write ( item[0] + "\n\n")
table = degreeSent.printSentenct()
# print table.get_string() + "\n\n"
f.write( table.get_string() + "\n\n" )
def labelDegreeSet(data_set_name, outfileName):
labelGrammer = createDegreeGrammar()
data = datautils.loadJson(data_set_name)
f = open(outfileName, "w")
for item in data:
# print item
words = item[2].split()
degreeSent = JobSentence(words)
labelGrammer.labelSentence(degreeSent)
print item[0]
f.write(item[0] + "\n\n")
table = degreeSent.printSentenct()
# print table.get_string() + "\n\n"
f.write(table.get_string() + "\n\n")
def labelDegree():
sent01 = "bachelors degree"
sent02 = "bachelors Degree preferred"
sent03 = "Bachelors Degree or Equivalent"
sent04 = "bachelors degree in Computer Science"
sent05 = "bachelors degree in Computer Science or equivalent"
sent06 = "B.S. degree in Computer Science required"
sent07 = "Requires a Bachelors degree in Information Systems or related field"
sent08 = "Bachelors degree in computer science or an equivalent combination of education and/or experience"
sent09 = "bachelors degree in related field , OR four ( 4 ) years of experience in a directly related field"
sent10 = "Bachelors or master degree in computer science"
sent11 = "Bachelor , Master or Doctorate of Science degree from an accredited course of study , in engineering , computer science , mathematics , physics or chemistry"
labelGrammer = createDegreeGrammar()
# printLabelGrammar(labelGrammer)
degreeSent = JobSentence(sent06.split())
labelGrammer.labelSentence(degreeSent)
degreeSent.printSentenct()
def labelDegree():
sent01 = "bachelors degree"
sent02 = "bachelors Degree preferred"
sent03 = "Bachelors Degree or Equivalent"
sent04 = "bachelors degree in Computer Science"
sent05 = "bachelors degree in Computer Science or equivalent"
sent06 = "B.S. degree in Computer Science required"
sent07 = "Requires a Bachelors degree in Information Systems or related field"
sent08 = "Bachelors degree in computer science or an equivalent combination of education and/or experience"
sent09 = "bachelors degree in related field , OR four ( 4 ) years of experience in a directly related field"
sent10 = "Bachelors or master degree in computer science"
sent11 = "Bachelor , Master or Doctorate of Science degree from an accredited course of study , in engineering , computer science , mathematics , physics or chemistry"
labelGrammer = createDegreeGrammar()
# printLabelGrammar(labelGrammer)
degreeSent = JobSentence(sent06.split())
labelGrammer.labelSentence(degreeSent)
degreeSent.printSentenct()
