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 processDegreeSet(data_set_name, outfileName,failfilename):
data = datautils.loadJson(data_set_name)
f = open(outfileName, "w")
f2 = open(failfilename, "w")
total = 0
m = 0
for item in data:
# print item
sent = item[2]
sid = item[0]
degreeSent, degreeModel = extractInfo(sent)
print sid , degreeModel
if len(degreeModel) > 0 :
m+=1
f.write( sent +"\n\n" )
f.write( degreeSent.printLabeledArray().get_string() +"\n\n" )
f.write( str(degreeModel) +"\n\n" )
else :
f2.write( sent +"\n\n" )
f2.write( degreeSent.printLabeledArray().get_string() +"\n\n" )
total += 1
f2.write( "\n\n match="+ str( m) + " total="+ str( total) + " radio=" + str (float(m)/total) )
print "match=", m, " total=", total, " radio=", float(m)/total
def processDegreeSet(data_set_name, outfileName, failfilename):
data = datautils.loadJson(data_set_name)
f = open(outfileName, "w")
f2 = open(failfilename, "w")
total = 0
m = 0
for item in data:
# print item
sent = item[2]
sid = item[0]
degreeSent, degreeModel = extractInfo(sent)
print sid, degreeModel
if len(degreeModel) > 0:
m += 1
f.write(sent + "\n\n")
f.write(degreeSent.printLabeledArray().get_string() + "\n\n")
f.write(str(degreeModel) + "\n\n")
else:
f2.write(sent + "\n\n")
f2.write(degreeSent.printLabeledArray().get_string() + "\n\n")
total += 1
f2.write("\n\n match=" + str(m) + " total=" + str(total) + " radio=" +
str(float(m) / total))
print "match=", m, " total=", total, " radio=", float(m) / total
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 preProcess(data_set_name, target_set_name):
max_length = 200
data = datautils.loadJson(data_set_name)
newdata = []
for item in data:
if len(item[1]) < max_length:
item.append(preProcessFun(item[1]))
item[1] = len(item[2].split())
newdata.append(item)
newdata = sorted(newdata, key=operator.itemgetter(1))
datautils.dumpTwo(newdata, target_set_name, dumpLam2)
def preProcess(data_set_name, target_set_name):
max_length = 200
data = datautils.loadJson(data_set_name)
newdata = []
for item in data:
if len (item[1] ) < max_length :
item.append ( preProcessFun(item[1]) )
item[1] = len(item[2].split())
newdata.append(item)
newdata = sorted(newdata, key=operator.itemgetter(1) )
datautils.dumpTwo(newdata, target_set_name, dumpLam2)
def labelDegreeSet(data_set_name, outfileName):
data = datautils.loadJson(data_set_name)
f = open(outfileName, "w")
total = 0
for item in data:
# print item
sent = item[2]
# sid = item[0]
print sent
labeledSent = labelSent(sent)
# print labeledSent.getCrfFormat()
f.write(labeledSent.getCrfFormat())
total += 1
def labelDegreeSet( data_set_name, outfileName ):
data = datautils.loadJson(data_set_name)
f = open(outfileName, "w")
total = 0
for item in data:
# print item
sent = item[2]
# sid = item[0]
print sent
labeledSent = labelSent( sent )
# print labeledSent.getCrfFormat()
f.write(labeledSent.getCrfFormat())
total += 1
def labelDegreeSet(matchers, data_set_name, outfileName,failfilename):
for matcher in matchers:
matcher.matchNum = 0
data = datautils.loadJson(data_set_name)
f = open(outfileName, "w")
f2 = open(failfilename, "w")
total = 0
m = 0
for item in data:
# print item
sent = item[2]
sid = item[0]
matcher = None
degreeSent, matcher = labelSentByMatchers(matchers, sent)
if matcher is not None:
output = matcher.output()
found = matcher.found
else:
output = None
found = None
print sid ,found, output
total += 1
if matcher is not None :
m+=1
# print sent.encode("GBK", "ignore")
f.write( sent.encode("GBK", "ignore") +"\n\n" )
f.write( degreeSent.printLabeledArray().get_string() +"\n\n" )
f.write( str(found) + " " + str(output) +"\n\n" )
else :
f2.write( sent.encode("GBK", "ignore") +"\n\n" )
f2.write( degreeSent.printLabeledArray().get_string() +"\n\n" )
f2.write( "\n\n match="+ str( m) + " total="+ str( total) + " radio=" + str (float(m)/total) +"\n" )
print "match=", m, " total=", total, " radio=", float(m)/total
i = 0
for matcher in matchers :
i+=1
print "matcher ", i, ":", matcher.matchNum
f2.write( "\n matcher " + str( i) + ":" + str( matcher.matchNum ) )
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 labelExampleSet(data_set_name, outfileName, start, end):
data = datautils.loadJson(data_set_name)
f = open(outfileName, "w")
total = 0
r = 100
for i in range(end - start):
# print item
item = data[i + start]
sent = item[2]
# sid = item[0]
print sent
labeledSent = labelSent(sent)
# print labeledSent.getCrfFormat()
f.write(labeledSent.getCrfFormat())
total += 1
def labelExampleSet( data_set_name, outfileName, start, end ):
data = datautils.loadJson(data_set_name)
f = open(outfileName, "w")
total = 0
r = 100
for i in range(end-start):
# print item
item = data[i+start]
sent = item[2]
# sid = item[0]
print sent
labeledSent = labelSent( sent )
# print labeledSent.getCrfFormat()
f.write(labeledSent.getCrfFormat())
total += 1
def beforeDegree():
data_set_name = "degree_1"
data = datautils.loadJson(data_set_name)
dict1 = {}
for item in data:
words = item[1].lower().split()
i = findToken("degree", words)
if (i != -1):
if i == 0:
term = "__NO__"
else:
term = words[i - 1]
# print term.encode("GBK", "ignore")
if dict1.has_key(term):
dict1[term] += 1
else:
dict1[term] = 1
# print term.encode("GBK", "ignore")
datautils.printStatDict(dict1)
def labelMajorSet(data_set_name, outfileName, start, num):
data = datautils.loadJson(data_set_name)
f = open(outfileName, "w")
total = 0
r = 100
i = 0
while i < num:
# print item
item = data[i + start]
sent = item[2]
# sid = item[0]
print sent
labeledSent = labelSent(sent)
# print labeledSent.getCrfFormat()
f.write(labeledSent.getCrfFormat())
total += 1
def beforeDegree():
data_set_name = "degree_1"
data = datautils.loadJson(data_set_name)
dict1 = {}
for item in data:
words = item[1].lower().split()
i = findToken("degree", words)
if ( i != -1 ) :
if i == 0 :
term = "__NO__"
else:
term = words[i-1]
# print term.encode("GBK", "ignore")
if dict1.has_key(term):
dict1[term]+=1
else :
dict1[term]=1
# print term.encode("GBK", "ignore")
datautils.printStatDict(dict1)
def labelMajorSet( data_set_name, outfileName, start, num ):
data = datautils.loadJson(data_set_name)
f = open(outfileName, "w")
total = 0
r = 100
i = 0
while i < num:
# print item
item = data[i+start]
sent = item[2]
# sid = item[0]
print sent
labeledSent = labelSent( sent )
# print labeledSent.getCrfFormat()
f.write(labeledSent.getCrfFormat())
total += 1
def filterTerms():
wordset = buildTerms()
data = datautils.loadJson("term3")
worddict = {}
for item in data:
# print item
sent = item[1]
sid = item[0]
tokens = sent.lower().split()
for token in tokens :
if not token in wordset:
if worddict.has_key(token) :
worddict[token] += 1
else :
worddict[token] = 1
sorted_x = sorted(worddict.iteritems(), key=operator.itemgetter(1))
f = open("unknowns.txt", "w")
for key, value in sorted_x:
print key.encode("GBK", "ignore"), value
f.write(key.encode("GBK", "ignore") + " " + str( value ) + "\n" )
