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add a withFlag param in textrank
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26e339f8f7
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4f8ca83661
@ -44,7 +44,7 @@ class UndirectWeightedGraph:
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for w in itervalues(ws):
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if w < min_rank:
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min_rank = w
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elif w > max_rank:
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if w > max_rank:
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max_rank = w
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for n, w in ws.items():
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@ -66,7 +66,7 @@ class TextRank(KeywordExtractor):
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return (wp.flag in self.pos_filt and len(wp.word.strip()) >= 2
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and wp.word.lower() not in self.stop_words)
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def textrank(self, sentence, topK=20, withWeight=False, allowPOS=('ns', 'n', 'vn', 'v')):
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def textrank(self, sentence, topK=20, withWeight=False, allowPOS=('ns', 'n', 'vn', 'v'), withFlag=False):
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"""
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Extract keywords from sentence using TextRank algorithm.
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Parameter:
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@ -75,6 +75,8 @@ class TextRank(KeywordExtractor):
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if False, return a list of words.
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- allowPOS: the allowed POS list eg. ['ns', 'n', 'vn', 'v'].
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if the POS of w is not in this list, it will be filtered.
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- withFlag: if True, return a list of pair(word, weight) like posseg.cut
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if False, return a list of words
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"""
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self.pos_filt = frozenset(allowPOS)
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g = UndirectWeightedGraph()
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@ -87,7 +89,10 @@ class TextRank(KeywordExtractor):
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break
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if not self.pairfilter(words[j]):
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continue
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cm[(wp.word, words[j].word)] += 1
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if allowPOS and withFlag:
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cm[(wp, words[j])] += 1
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else:
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cm[(wp.word, words[j].word)] += 1
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for terms, w in cm.items():
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g.addEdge(terms[0], terms[1], w)
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@ -96,6 +101,7 @@ class TextRank(KeywordExtractor):
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tags = sorted(nodes_rank.items(), key=itemgetter(1), reverse=True)
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else:
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tags = sorted(nodes_rank, key=nodes_rank.__getitem__, reverse=True)
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if topK:
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return tags[:topK]
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else:
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@ -81,6 +81,9 @@ class pair(object):
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def __iter__(self):
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return iter((self.word, self.flag))
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def __lt__(self, other):
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return self.word < other.word
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def encode(self, arg):
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return self.__unicode__().encode(arg)
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