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build stable sort for graph iteration, then we can get stable result.

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zhangcheng 2015-02-16 15:46:36 +08:00
parent 49657c976d
commit 1152db7736
1 changed files with 14 additions and 7 deletions
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21
jieba/analyse/textrank.py
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@ -3,10 +3,12 @@
from __future__ import unicode_literals
import sys
import json
import collections
from operator import itemgetter
import jieba.posseg as pseg
class UndirectWeightedGraph:
d = 0.85
@ -18,17 +20,23 @@ class UndirectWeightedGraph:
self.graph[start].append((start, end, weight))
self.graph[end].append((end, start, weight))
def refactor(self):
for n, _ in self.graph.items():
self.graph[n].sort()
def rank(self):
ws = collections.defaultdict(float)
outSum = collections.defaultdict(float)
giter = list(self.graph.items()) # these two lines for build stable iteration
giter.sort()
wsdef = 1.0 / (len(self.graph) or 1.0)
for n, out in self.graph.items():
for n, out in giter:
ws[n] = wsdef
outSum[n] = sum((e[2] for e in out), 0.0)
for x in xrange(10): # 10 iters
for n, inedges in self.graph.items():
for x in range(10): # 10 iters
for n, inedges in giter:
s = 0
for e in inedges:
s += e[2] / outSum[e[1]] * ws[e[1]]
@ -36,7 +44,7 @@ class UndirectWeightedGraph:
(min_rank, max_rank) = (sys.float_info[0], sys.float_info[3])
for w in itervalues(ws):
for _, w in ws.items():
if w < min_rank:
min_rank = w
elif w > max_rank:
@ -64,9 +72,9 @@ def textrank(sentence, topK=10, withWeight=False, allowPOS=['ns', 'n', 'vn', 'v'
cm = collections.defaultdict(int)
span = 5
words = list(pseg.cut(sentence))
for i in xrange(len(words)):
for i in range(len(words)):
if words[i].flag in pos_filt:
for j in xrange(i + 1, i + span):
for j in range(i + 1, i + span):
if j >= len(words):
break
if words[j].flag not in pos_filt:
@ -75,7 +83,6 @@ def textrank(sentence, topK=10, withWeight=False, allowPOS=['ns', 'n', 'vn', 'v'
for terms, w in cm.items():
g.addEdge(terms[0], terms[1], w)
nodes_rank = g.rank()
if withWeight:
tags = sorted(nodes_rank.items(), key=itemgetter(1), reverse=True)