-
Notifications
You must be signed in to change notification settings - Fork 5
/
data_analysis.py
249 lines (226 loc) · 7.01 KB
/
data_analysis.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
#!usr/bin/env python
# -*- coding:utf-8 -*-
#统计分析数据
from __future__ import division
import operator
import string
import re
import sys
reload(sys)
sys.setdefaultencoding("utf-8")
def firstAnalysis():
inFile=open('data/trainData.dat','r')
for i in xrange(1,3):
tag_true_num={}
tag_rate={}
inFile.seek(0)
for line in inFile.readlines():
line=line.strip()
content,core_entity=line.split(',')
pre_c,next_c=content.split(core_entity)[:2]
key="%s,%s" % (pre_c[-(3*i):],next_c[:(3*i)])
tag_true_num.setdefault(key,0)
tag_true_num[key]+=1
for key,value in tag_true_num.items():
count=10
pre_c,next_c=key.split(',')
p=re.compile( r'a[^ab]+b')
inFile.seek(0)
for line in inFile.readlines():
line=line.replace(pre_c,"a").replace(next_c,"b")
for tmp in p.findall(line):
if tmp[1:-1].find(",")==-1 and tmp[1:-1].find("︽")==-1:
count+=1
tag_rate[key]=[value,count,value/count]
tagFile=open('data/tag_rate_%d.dat' % i,'w')
tagGoalFile=open('data/tag_goal_%d.dat' % i,'w')
tagGoalFile.write('pre,next\n')
tagFile.write('pre,next,true_num,all_num,rate\n')
for key,values in sorted(tag_rate.items(),key=lambda x:x[1][2],reverse=True):
if values[0]<1 or values[0]>values[1]-1 or values[1]==10:
continue
tagFile.write("%s,%d,%d,%f\n" % (str(key),values[0],values[1],values[2]))
tagGoalFile.write("%s\n" % str(key) )
tagGoalFile.close()
tagFile.close()
inFile.close()
def secondAnalysis():
#停用词
stopFile=open('data/stopWord.txt','r')
stopWords=[]
for line in stopFile.readlines():
line=line.strip()
if int(len(line)/3)!=len(line)/3 or len(line)<3:
continue
stopWords.append(line)
stopFile.close()
#情感词
emotionFile=open('data/emotion.txt','r')
emotionWords=[]
for line in emotionFile.readlines():
emotionWords.append(line.strip())
emotionFile.close()
keywords=[]
goalFile=open('data/trainData_3.dat','r')
for line in goalFile.readlines():
content=line.strip()[6:]
core_entity=content.split("︽,")[1]
#content=content.split("︽,")[0]
if len(core_entity)<=3:
continue
flag=True
for stopWord in stopWords:
if core_entity.find(stopWord)!=-1:
flag=False
break
if core_entity in emotionWords:
continue
if flag and core_entity not in keywords:
keywords.append(core_entity)
#按长度决定优先级
keywords=sorted(keywords,key=lambda x:len(x),reverse=True)
keywordFile=open('data/keyword.dat','w')
for keyword in keywords:
if len(keyword)<=6 or keyword.find('年')!=-1:
continue
keyword=keyword.replace("“","").replace("”","")
keywordFile.write(keyword+'\n')
keywordFile.close()
def thirdAnalysis():
keyword_num={}
goalFile=open('data/trainData_4.dat','r')
for line in goalFile.readlines():
content=line.strip()[6:]
core_entity=content.split("︽,")[1]
keyword_num.setdefault(core_entity,0)
keyword_num[core_entity]+=1
keywordFile=open('data/keyword_num.dat','w')
for keyword,num in sorted(keyword_num.items(),key=operator.itemgetter(1),reverse=True):
keyword=keyword.replace("“","").replace("”","")
keywordFile.write(keyword+","+str(num)+'\n')
keywordFile.close()
#停用词
stopFile=open('data/stopWord.txt','r')
stopWords=[]
for line in stopFile.readlines():
line=line.strip()
if int(len(line)/3)!=len(line)/3 or len(line)<3:
continue
stopWords.append(line)
stopFile.close()
#情感词
emotionFile=open('data/emotion.txt','r')
emotionWords=[]
for line in emotionFile.readlines():
emotionWords.append(line.strip())
emotionFile.close()
errorFile=open('data/error_word.dat','w')
for keyword in keyword_num.keys():
if len(keyword)<=3:
errorFile.write(keyword+'\n')
continue
if keyword.find('年')!=-1 and keyword.find('月')!=-1:
errorFile.write(keyword+'\n')
continue
if keyword in emotionWords:
errorFile.write(keyword+'\n')
continue
for stopWord in stopWords:
if keyword.find(stopWord)!=-1:
errorFile.write(keyword+'\n')
break
errorFile.close()
def fourthAnalysis():
keyword_num={}
goalFile=open('data/trainData_5.dat','r')
for line in goalFile.readlines():
content=line.strip()[6:]
core_entity=content.split("︽,")[1]
#content=content.split("︽,")[0]
keyword_num.setdefault(core_entity,0)
keyword_num[core_entity]+=1
keywordFile=open('data/keyword_num.dat','w')
for keyword,num in sorted(keyword_num.items(),key=operator.itemgetter(1),reverse=True):
keyword=keyword.replace("“","").replace("”","")
keywordFile.write(keyword+","+str(num)+'\n')
keywordFile.close()
#停用词
stopFile=open('data/stopWord.txt','r')
stopWords=[]
for line in stopFile.readlines():
line=line.strip()
if int(len(line)/3)!=len(line)/3 or len(line)<3:
continue
stopWords.append(line)
stopFile.close()
#情感词
emotionFile=open('data/emotion.txt','r')
emotionWords=[]
for line in emotionFile.readlines():
emotionWords.append(line.strip())
emotionFile.close()
errorFile=open('data/error_word.dat','w')
for keyword in keyword_num.keys():
if len(keyword)<=3:
errorFile.write(keyword+'\n')
continue
if keyword.find('年')!=-1 and keyword.find('月')!=-1:
errorFile.write(keyword+'\n')
continue
if keyword in emotionWords:
errorFile.write(keyword+'\n')
continue
for stopWord in stopWords:
if keyword.find(stopWord)!=-1:
errorFile.write(keyword+'\n')
break
errorFile.close()
def fifthAnalysis():
keyword_num={}
goalFile=open('data/trainData_6.dat','r')
for line in goalFile.readlines():
content=line.strip()[6:]
core_entity=content.split("︽,")[1]
#content=content.split("︽,")[0]
keyword_num.setdefault(core_entity,0)
keyword_num[core_entity]+=1
keywordFile=open('data/keyword_num.dat','w')
for keyword,num in sorted(keyword_num.items(),key=operator.itemgetter(1),reverse=True):
keyword=keyword.replace("“","").replace("”","")
keywordFile.write(keyword+","+str(num)+'\n')
keywordFile.close()
#停用词
stopFile=open('data/stopWord.txt','r')
stopWords=[]
for line in stopFile.readlines():
line=line.strip()
if int(len(line)/3)!=len(line)/3 or len(line)<3:
continue
stopWords.append(line)
stopFile.close()
#情感词
emotionFile=open('data/emotion.txt','r')
emotionWords=[]
for line in emotionFile.readlines():
emotionWords.append(line.strip())
emotionFile.close()
errorFile=open('data/error_word.dat','w')
for keyword in keyword_num.keys():
if re.match(r'[a-zA-Z]',keyword):
continue
count=0
if len(keyword)<=3:
errorFile.write(keyword+'\n')
continue
if keyword.find('年')!=-1 and keyword.find('月')!=-1:
errorFile.write(keyword+'\n')
continue
if keyword in emotionWords:
errorFile.write(keyword+'\n')
continue
for stopWord in stopWords:
if keyword.find(stopWord)!=-1:
count+=len(stopWord)
if count/len(keyword)>0.5:
errorFile.write(keyword+'\n')
errorFile.close()