def 심정(self):
tr = TextRank(window=5, coef=1)
stopword = set([('있', 'VV'), ('하', 'VV'), ('되', 'VV'), ('없', 'VV')])
tr.load(
RawTaggerReader('x.txt'),
lambda w: w not in stopword and (w[1] in
('NNG', 'NNP', 'VV', 'VA')))
tr.build()
kw = tr.extract(0.4)
if kw is None:
return "모름"
else:
return kw
def 처지(self):
tr = TextRank()
from konlpy.tag import Komoran
tagger = Komoran()
stopword = set([('있', 'VV'), ('하', 'VV'), ('되', 'VV')])
tr.loadSents(
RawSentenceReader('x.txt'), lambda sent: filter(
lambda x: x not in stopword and x[1] in
('NNG', 'NNP', 'VV', 'VA'), tagger.pos(sent)))
tr.build()
ranks = tr.rank()
if tr.summarize(0.4) is None:
return "모름"
else:
return tr.summarize(0.4)
from textrank import TextRank, RawSentenceReader
from konlpy.tag import Kkma
import sys
filename = sys.argv[1]
rate = float(sys.argv[2])
tr = TextRank()
#print('Load...')
from konlpy.tag import Komoran
tagger = Komoran()
stopword = set([('있', 'VV'), ('하', 'VV'), ('되', 'VV') ])
tr.loadSents(RawSentenceReader(filename), lambda sent: filter(lambda x:x not in stopword and x[1] in ('NNG', 'NNP', 'VV', 'VA'), tagger.pos(sent)))
#print('Build...')
tr.build()
ranks = tr.rank()
#for k in sorted(ranks, key=ranks.get, reverse=True)[:100]:
#print("\t".join([str(k), str(ranks[k]), str(tr.dictCount[k])]))
sentence = '%s.' % (tr.summarize(rate).split('. ')[0])
kkma = Kkma()
print(sentence)
print(list(x[0] for x in (list(filter(lambda x: x[1][0] == 'N', kkma.pos(sentence))))))