from konlpy.tag import Twitter
from konlpy.tag import Komoran
twitter = Komoran()
text = open('190747347803005_191149761096097','r').read().decode('utf8')
print text
print '---------------'
sentence = []
for i in twitter.pos(text):
#if i[1] == 'Unknown' or i[1] == 'Punctuation':
# continue
if i[1] == 'SF' or i[1] == 'SE' or i[1] == 'SP' or i[1] == 'SS':
continue
sentence.append(i[0])
if i[1] == 'EF' :
print ''.join(sentence)
sentence = []
if __name__ == '__main__':
parser = OptionParser()
parser.add_option("--verbose", action="store_const", const=1, dest="verbose", help="verbose mode")
(options, args) = parser.parse_args()
if options.verbose : VERBOSE = 1
komoran = Komoran()
while 1:
try:
line = sys.stdin.readline()
except KeyboardInterrupt:
break
if not line:
break
analyzed = komoran.pos(line)
seq = 1
for morph, tag in analyzed :
tp = [seq, morph, morph, tag, tag, '_', 0, '_', '_', '_']
print '\t'.join([str(e) for e in tp])
seq += 1
print '\n',
from konlpy.tag import Komoran
result = []
komoran = Komoran()
with open("/home/nlpgpu4/data/cm/Attetion_SRL/[naver]train_data.txt") as f:
for line in f.readlines():
if line.strip() == "" :
result.append("\n")
continue
idx, raw_word, label = line.split()
tmp_word = komoran.pos(raw_word.decode("utf-8"))
word = ""
for w in tmp_word:
word += w[0]+"/"+w[1] + "|"
new_line = idx + "\t" + word[:-1] + "\t" + raw_word.decode("utf-8") +"\t"+ label.strip() + "\n"
result.append(new_line)
# break
with open("/home/nlpgpu4/data/cm/Attetion_SRL/[naver]komoran_train_data.txt", "w") as f:
for r in result:
f.write(r.encode("utf-8"))
34857
from konlpy.tag import Komoran
print("Dsds")
komoran = Komoran()
print(komoran.morphs(u'우왕 코모란도 오픈소스가 되었어요'))
print(komoran.nouns(u'오픈소스에 관심 많은 멋진 개발자님들!'))
print(komoran.pos(u'한글형태소분석기 코모란 테스트 중 입니다.'))
if __name__ == '__main__':
parser = OptionParser()
parser.add_option("--verbose",
action="store_const",
const=1,
dest="verbose",
help="verbose mode")
(options, args) = parser.parse_args()
if options.verbose: VERBOSE = 1
komoran = Komoran()
while 1:
try:
line = sys.stdin.readline()
except KeyboardInterrupt:
break
if not line:
break
analyzed = komoran.pos(line)
seq = 1
for morph, tag in analyzed:
tp = [seq, morph, morph, tag, tag, '_', 0, '_', '_', '_']
print '\t'.join([str(e) for e in tp])
seq += 1
print '\n',
result = []
i = 0
twit_id = []
user_timeline = []
sent1 = []
sent2 = []
sent3 = []
sent4 = []
sent5 = []
for content in timeline:
sentence = content[2]
user_timeline.append(sentence)
twit_id.append(str(content[1]))
result.append(komoran.pos(sentence))
#print("문장 :", sentence)
#print(result[i])
i += 1
'''
sentence = "★마비노기 14주년 기념 축제★ 매주 그리운 NPC와 함께 상상여행을 떠나고, 돌아온 악동 4인방을 도와 축제를 꾸며주세요. 다양한 14주년 이벤트에 참여하면 역대급으로 쏟아지는 푸짐한 선물까지! #마비노기_14주년"
result = komoran.pos(sentence)
print("문장 :", sentence)
print(result)
'''
i = 0
for twit in result:
#print(twit)
okt = Okt()
twitter = Twitter()
sentence = 'IBK기업은행 '
sentences = '소은지국민은행계좌로30만원이체해줘'
komoran = Komoran()
twitter.add_dictionary('이체해줘', 'Noun')
twitter.add_dictionary('KB 국민은행', 'Noun')
komoran = Komoran(userdic="C:/Users/ADMIN/Desktop/dic.txt")
print(twitter.pos(sentence, stem=True))
print(twitter.pos(sentences, stem=True))
print(komoran.pos(sentence))
print(komoran.pos(sentences))
arr = komoran.pos(sentence)
for word, tag in arr:
if (tag == 'VV'): print("|||||||")
print(word, tag)
if (tag == 'JKO' or tag == 'JKB' or tag == 'JKS'): print("|||||||")
brr = komoran.pos(sentences)
for word, tag in brr:
if (tag == 'VV' or tag == 'XSV'):
print("|||||||")
print(word, tag)
# 코모란 형태소 분석기 객체 생성 # komoran = Komoran() # text = "성남에 있는 성심병원의 주소를 알려주세요." # # # 형태소 추출 # morphs = komoran.morphs(text) # print(morphs) # # # 형태소와 품사 태그 추출 # pos = komoran.pos(text) # print(pos) # 명사만 추출 # nouns = komoran.nouns(text) # print(nouns) #인식이 안되는 새로운 단어 추가 #[단어] TAP [품사] #엔엘피 NNG komoran = Komoran(userdic='./user_dic.txt') # 사용자사전 1 병원이름 정의 X komoran2 = Komoran(userdic='./user_dic_2.txt') # 사용자사전 2 병원이름 정의 O text = "용인에 있는 한성의심원병원 전화번호 알려줘!" pos = komoran.pos(text) pos2 = komoran2.pos(text) print(pos) print(pos2) # print(get_keywords(pos, without_tag=False)) # print(get_keywords(pos, without_tag=True))
with open('./doc.txt', 'r', encoding='utf-8') as f:
contents = f.readlines()
desc = ''
for sent in contents:
sent = sent.replace('\n', ' ')
desc += sent
f.close()
phars = desc.split('.')
#for phar in phars:
#tokenized(desc)
kkma = Kkma()
article = kkma.sentences(desc)
print(article)
twitter = Twitter()
for sentence in article:
out_str = twitter.nouns(sentence)
print(out_str)
words = komoran.pos(desc, join=True)
#print(words)
#print(phar)
#str_cmp('집합에 관련된 것을 쉽게 처리하기 위해 만든 자료형이다.','집합(set)은 파이썬 2.3부터 지원하기 시작한 자료형으로')
#main()
from konlpy.tag import Komoran
sentence = '국정 농단 태블릿 PC, 설진욱, 가나다라'
print('# before user dic')
komo = Komoran()
print(komo.pos(sentence))
'''
임시 파일을 만들어서 위의 코딩을 테스트 해주세요.
'''
'''
결과값 # before user dic
[('국정', 'NNG'), ('농', 'NNG'),
('단', 'NNG'), ('태블릿 PC', 'NNP'), (',', 'SP'),
('설', 'NNB'), ('진', 'NNP'),
('욱', 'NA'), (',', 'SP'), ('가나', 'NNP'), ('다라', 'NNP')]
'''
with open(FEATURE_FILE_NAME, 'rb') as featureFile:
features = pickle.load(featureFile)
with open(MODEL_FILE_NAME, 'rb') as modelFile:
classifier = pickle.load(modelFile)
#형태소분석기
komoran = Komoran()
while True:
sentence = input("문장을 입력하세요(종료=exit): ")
if sentence == 'exit':
break
analyzed = komoran.pos(sentence)
selected = []
for word, morph in analyzed:
if morph in SELECT_MORPH:
selected.append(word + '/' + morph)
#document term array
sentFeatures = np.zeros(shape=(1, len(features)))
selected = _word_ngrams(NGRAM, selected)
for token in selected:
featIdx = features.index(token) if token in features else -1
if featIdx != -1:
hannanum = Hannanum()
normalizations = hannanum.morphs(input_text)
tokenizations = hannanum.pos(input_text)
print('')
print('######## Hannanum ########')
print('')
print('normalization : ')
print(normalizations)
print('')
print('tokenization : ')
print(tokenizations)
print('')
######## use Komoran ########
komoran = Komoran()
normalizations = komoran.morphs(input_text)
tokenizations = komoran.pos(input_text)
print('')
print('######## Komoran ########')
print('')
print('normalization : ')
print(normalizations)
print('')
print('tokenization : ')
print(tokenizations)
print('')
class sfGen():
def __init__(self, driver, db, taggedSen):
#self.searchInput = searchInput
#self.searchInputAnnex = searchInputAnnex
self.driver = driver
self.db = db
self.taggedSen = taggedSen
from konlpy.tag import Komoran
self.Komoran = Komoran()
#self.dictSearchCommon
def createSearchInputYongeon(self, yongeonPart):
# 논항구조 가져오기
index0 = yongeonPart[0]
index1 = yongeonPart[1]
searchInput = ""
for x in self.taggedSen[index0:index1]:
if "V" in x[1]:
searchInput = searchInput + x[0]
elif "J" in x[1]:
break
else:
pass
searchInput = searchInput + "다"
searchInputAnnex = {}
searchInputAnnex["pos"] = "yongeon"
print searchInput
print searchInputAnnex
self.searchInput = searchInput
self.searchInputAnnex = searchInputAnnex
def createSearchInputCheeon(self, cheeonPart):
index0 = cheeonPart[0]
index1 = cheeonPart[1]
searchInput = ""
print index0
print index1
for x in self.taggedSen[index0:index1]:
if re.search(r"J[A-Z]+", x[1]) != None:
pass
else:
searchInput = str(x[0])
searchInputAnnex = {}
searchInputAnnex["pos"] = "cheeon"
print searchInput
print searchInputAnnex
self.searchInput = searchInput
self.searchInputAnnex = searchInputAnnex
def getSemanticFeature(self):
dbSearchResult = self.retrieveFromDb(self.searchInput,
self.searchInputAnnex)
fetched = dbSearchResult.fetch_row()
# case where there exist search results
if fetched:
while fetched:
print fetched[0][6]
fetched = dbSearchResult.fetch_row()
# case where no search result has been found
else:
self.dictSearchCommon(self.searchInput, self.searchInputAnnex)
self.dictSearchCheeon(self.searchInput, self.searchInputAnnex)
self.insertIntoDb(self.searchInputAnnex)
# searchInput : str
# searchInputAnnex : dict
# returns : _mysql.result object
def retrieveFromDb(self, searchInput, searchInputAnnex):
searchInputAnnex["pos"]
sqlQuery = ""
sqlQuery = sqlQuery + "SELECT * FROM sf_" + searchInputAnnex["pos"]
sqlQuery = sqlQuery + " WHERE wordname REGEXP \'" + searchInput + "\'"
print sqlQuery
db2.query(sqlQuery)
result = db2.store_result()
#self.db.query(sqlQuery)
#result = self.db.store_result()
return result
def dictSearchCommon(self, searchInput, searchInputAnnex):
self.searchInput = searchInput
self.searchInputAnnex = searchInputAnnex
# direct to homepage of Daum한국어사전
# select
self.driver.get("http://dic.daum.net/index.do?dic=kor")
searchBox = self.driver.find_element_by_class_name("tf_keyword")
searchInput = unicode(self.searchInput)
searchBox.send_keys(searchInput)
self.driver.find_element_by_class_name("btn_search").click()
if re.search(r"search\.do\?", self.driver.current_url) != None:
try:
self.driver.find_element_by_class_name("txt_cleansch").click()
except selenium.common.exceptions.NoSuchElementException:
pass
elems = self.driver.find_elements_by_class_name("fold_open")
for x in elems:
# folding unfolded boxes
try:
x.find_element_by_class_name("btn_fold").click()
except selenium.common.exceptions.NoSuchElementException:
pass
def dictSearchCheeon(self, searchInput, searchInputAnnex):
ret = ""
searchInput = self.searchInput
elems = self.driver.find_elements_by_class_name("box_word")
for x in elems:
retCommon = ""
# unfolding folded boxes
try:
x.find_element_by_class_name("btn_fold").click()
except selenium.common.exceptions.NoSuchElementException:
#break
pass
#print "패쓰!"
try:
curl = self.driver.current_url
kkw = curl.split("wordid=")[1].split("&")[0]
kku = x.get_attribute("data-supid")
retCommon = retCommon + kkw + "|" + kku + "|" + pos.text + "|"
except:
break
try:
pos = x.find_element_by_class_name("tit_ex")
#if pos.text not in ["명사","인칭 대명사"]:
# #print "체언이 아니자나!"
# break
except:
break
try:
retCommon = retCommon + x.find_element_by_class_name(
"txt_subword").text + "|"
except selenium.common.exceptions.NoSuchElementException:
retCommon = retCommon + searchInput + "|"
try:
retCommon = retCommon + x.find_element_by_class_name(
"txt_hanja").text + "|"
except selenium.common.exceptions.NoSuchElementException:
retCommon = retCommon + searchInput + "|"
#print retCommon
descs = x.find_elements_by_class_name("desc_item")
#retSpecific = ""
sfCfmd = ""
descRaw = ""
if retCommon.split("|")[2] not in ["명사", "의존 명사", "인칭 대명사"]:
print "체언이 아니자나!"
else:
for y in descs:
descRaw = descRaw + y.text + "/"
for z in y.text.split(".")[:-1]:
desc = z.strip()
desc = str(desc)
sfCdd = ""
#elif re.search(r"말한다", desc) != None:
# sfCdd = desc.split(" ")[-2]
#부르는 또는 이르는...일컫는 말... 앞에서는
if re.search(r"통틀어 이르는 말", desc) != None:
if re.search(r".+을", desc.split(" ")[-4]) != None:
sfCdd = desc.split(" ")[-4].rstrip("을")
elif re.search(r".+를",
desc.split(" ")[-4]) != None:
sfCdd = desc.split(" ")[-4].rstrip("를")
elif re.search(r"높여 이르는 말", desc) != None:
if re.search(r".+을", desc.split(" ")[-4]) != None:
sfCdd = desc.split(" ")[-4].rstrip("을")
elif re.search(r".+를",
desc.split(" ")[-4]) != None:
sfCdd = desc.split(" ")[-4].rstrip("를")
else:
sfCdd = desc.split(" ")[-1]
#print sfCdd
if self.Komoran.pos(sfCdd)[-1][1] == "ETN":
sfCfmd = sfCfmd + "행동;"
else:
sfCfmd = sfCfmd + sfCdd + ";"
sfCfmd = sfCfmd + "/"
#print sfCfmd
retSpecific = sfCfmd + "|" + descRaw
ret = ret + retCommon + retSpecific + "\n"
retCommon = ""
self.dbInput = ret
print ret
return ret
def dictSearchYongeon(self, searchInput, searchInputAnnex):
ret = ""
searchInput = self.searchInput
elems = self.driver.find_elements_by_class_name("box_word")
for x in elems:
# initialising variable
retCommon = ""
# unfolding folded boxes
try:
x.find_element_by_class_name("btn_fold").click()
except selenium.common.exceptions.NoSuchElementException:
pass
# collecting kkw and kku (if any, break otherwise)
try:
curl = self.driver.current_url
kkw = curl.split("wordid=")[1].split("&")[0]
kku = x.get_attribute("data-supid")
retCommon = retCommon + kkw + "|" + kku + "|"
except:
break
try:
retCommon = retCommon + x.find_element_by_class_name(
"txt_subword").text + "|"
except selenium.common.exceptions.NoSuchElementException:
retCommon = retCommon + searchInput + "|"
pass
# collecting hanja (if any)
try:
retCommon = retCommon + x.find_elements_by_class_name(
"txt_pronounce")[1].text + "|"
except (selenium.common.exceptions.NoSuchElementException,
IndexError):
try:
retCommon = retCommon + self.driver.find_elements_by_class_name(
"txt_pronounce")[0].text + "|"
except selenium.common.exceptions.NoSuchElementException:
retCommon = retCommon + "NoHanja|"
#print retCommon
# for each description
retSpecific = ""
descs = x.find_elements_by_class_name("desc_item")
for y in descs:
try:
pos = x.find_element_by_class_name("tit_ex")
if pos.text not in ["자동사", "타동사", "형용사"]:
break
#retSpecific = retSpecific + pos.text + "|"
except selenium.common.exceptions.NoSuchElementException:
#print "패쓰!"
break
#print y.text
desc = str(y.text)
try:
argStruct = str(desc.split(")")[0].split("(")[1])
#print ret1
taggedDesc = self.Komoran.pos(argStruct)
#print taggedDesc
argStructPat = []
for i in range(len(taggedDesc)):
if taggedDesc[i][1] == "JKS":
if "JKS0" in argStructPat:
argStructPat.append("JKS1")
else:
argStructPat.append("JKS0")
elif re.search(r"JK[A-Z]+", taggedDesc[i][1]) != None:
argStructPat.append(str(taggedDesc[i][1]))
#print argStructPat
switch = argStructPat[0]
switchIndex = 1
argStructRefined = ""
for i in range(len(taggedDesc)):
if re.search(r"N[A-Z]+", taggedDesc[i][1]) != None:
argStructRefined = argStructRefined + taggedDesc[
i][0] + "/" + switch[2:] + " "
elif re.search(
r"JK[A-Z]+", taggedDesc[i]
[1]) != None and switchIndex < len(argStructPat):
switch = argStructPat[switchIndex]
switchIndex += 1
retSpecific = pos.text + "|" + argStructRefined + "|" + desc
#print retSpecific
#print "ongoing"
except (UnicodeDecodeError, IndexError):
pass
ret = ret + retCommon + retSpecific + "\n"
#elif searchWordtype == "N":
# ret = ret + str(desc) + ";"
retCommon = ""
self.dbInput = ret
print ret
return ret
def insertIntoDb(self, searchInputAnnex):
#print self.dbInput
for x in self.dbInput.split("\n")[:-1]:
dbInput = x
print dbInput
kkw = dbInput.split("|")[0]
kku = dbInput.split("|")[1]
if searchInputAnnex["pos"] == "cheeon":
pos = unicode(dbInput.split("|")[2])
wordname = dbInput.split("|")[3]
wordname_hanja = dbInput.split("|")[4]
elif searchInputAnnex["pos"] == "yongeon":
pos = dbInput.split("|")[4]
wordname = dbInput.split("|")[2]
wordname_hanja = dbInput.split("|")[3]
sf = dbInput.split("|")[5]
raw_desc = dbInput.split("|")[6]
sqlQueryBh = ""
sqlQueryBh = sqlQueryBh + "SELECT * FROM sf_" + searchInputAnnex[
"pos"]
sqlQueryBh = sqlQueryBh + " WHERE kkw=\'" + kkw + "\' and kku=\'" + kku + "\'"
#print sqlQueryBh
#self.db.query(sqlQueryBh)
db2.query(sqlQueryBh)
#result = self.db.store_result()
result = db2.store_result()
if len(result.fetch_row()) == 0:
sqlQuery = "INSERT INTO sf_" + searchInputAnnex["pos"]
sqlQuery = sqlQuery + " (kkw, kku, pos, wordname, wordname_hanja, sf, raw_desc)"
sqlQuery = sqlQuery + " VALUES ("
sqlQuery = sqlQuery + "\'" + kkw + "\'" + ","
sqlQuery = sqlQuery + "\'" + kku + "\'" + ","
sqlQuery = sqlQuery + "\'" + pos + "\'" + ","
sqlQuery = sqlQuery + "\'" + wordname + "\'" + ","
sqlQuery = sqlQuery + "\'" + wordname_hanja + "\'" + ","
sqlQuery = sqlQuery + "\'" + sf + "\'" + ","
sqlQuery = sqlQuery + "\'" + raw_desc + "\'" + ")"
print sqlQuery
#self.db.query(sqlQuery)
db2.query(sqlQuery)
else:
print "already inserted"
