-
Notifications
You must be signed in to change notification settings - Fork 1
/
data_utils.py
231 lines (220 loc) · 6.62 KB
/
data_utils.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
from gensim.parsing import PorterStemmer
from nltk import sent_tokenize, word_tokenize
from gensim.models import KeyedVectors
def words_to_glove(sentences, model):
filename = 'glove.6B.100d.txt' # add [voc_size dimension_size]. 400000 50/100/200/300 to the top file,
model = KeyedVectors.load_word2vec_format(filename, binary=False)
words = []
sents = []
for sentence in sentences:
for word in sentence:
try:
word_vector =model[word]
#print(word_vector)
#word_vector = model['a']
except:
print('Found unknown word: {0}'.format(word))
word_vector = model['a']
#print(word_vector)
#words.append(word_vector)
#sents.append((words))
sents.append((word_vector)) #
words = []
return sents
def words_to_word2vec(sentences, model):
words = []
sents = []
for sentence in sentences:
for word in sentence:
try:
word_vector =model[word]
#print(word_vector)
#word_vector = model['a']
except:
print('Found unknown word: {0}'.format(word))
word_vector = model['a']
#print(word_vector)
#words.append(word_vector)
#sents.append((words))
sents.append((word_vector)) #
words = []
return sents
def sentences_to_lists(filename):
filename = open(filename, 'r', encoding='utf8')
sentences = []
labels = []
sentence = []
label = []
for line in filename:
if (('-DOCSTART-') in line):
continue
tokens = line.split(' ')
#print(tokens[0])
if len(tokens) > 3:
sentence.append(tokens[0])
label.append(tokens[3].replace('\n', ''))
if len(tokens) < 3 and len(sentence) != 0:
sentences.append(sentence)
labels.append(label)
sentence = []
label = []
return sentences, labels
def tweets_to_integer(labels):
tags = []
tag = []
for label in labels:
for word in label:
if word == 'Person':
#tag.append(0.0)
tags.append(0.0)#
elif word == 'Character':
#tag.append(1.0)
tags.append(1.0)#
elif word == 'Thing':
#tag.append(2.0)
tags.append(2.0)#
elif word == 'Location':
#tag.append(3.0)
tags.append(3.0)#
elif word == 'Organization':
#tag.append(8.0)
tags.append(4.0)#
elif word == 'Product':
tags.append(5.0)
elif word == 'Event':
tags.append(6.0)
elif word == 'Other':
tags.append(7.0)
else:
print('Catching different tag: {0}'.format(word))
#tags.append(tag)
tag = []
return tags
def tweets_to_label(word):
if word == 0.0:
#tag.append(0.0)
return 'Person'
elif word == 1.0:
#tag.append(1.0)
return 'Character'
elif word == 2.0:
#tag.append(2.0)
return 'Thing'
elif word == 3.0:
#tag.append(3.0)
return 'Location'
elif word == 4.0:
#tag.append(8.0)
return 'Organization'
elif word == 5.0:
return 'Product'
elif word == 6.0:
return 'Event'
elif word == 7.0:
return 'Other'
else:
print('Catching different tag: {0}'.format(word))
#tags.append(tag)
return 'Error'
def labels_to_integer(labels):
tags = []
tag = []
for label in labels:
for word in label:
if word == 'PER':
#tag.append(0.0)
tags.append(0.0)#
elif word == 'ORG':
#tag.append(1.0)
tags.append(1.0)#
elif word == 'LOC':
#tag.append(2.0)
tags.append(2.0)#
elif word == 'MISC':
#tag.append(3.0)
tags.append(3.0)#
elif word == 'O':
#tag.append(8.0)
tags.append(4.0)#
else:
print('Catching different tag: {0}'.format(word))
#tags.append(tag)
tag = []
return tags
def tweets_to_integer(labels):
tags = []
tag = []
for label in labels:
for word in label:
if word == 'Person':
#tag.append(0.0)
tags.append(0.0)#
elif word == 'Character':
#tag.append(1.0)
tags.append(1.0)#
elif word == 'Thing':
#tag.append(2.0)
tags.append(2.0)#
elif word == 'Location':
#tag.append(3.0)
tags.append(3.0)#
elif word == 'Organization':
#tag.append(8.0)
tags.append(4.0)#
elif word == 'Product':
tags.append(5.0)
elif word == 'Event':
tags.append(6.0)
elif word == 'Other':
tags.append(7.0)
else:
print('Catching different tag: {0}'.format(word))
#tags.append(tag)
tag = []
return tags
def tweets_to_label(word):
if word == 0.0:
#tag.append(0.0)
return 'Person'
elif word == 1.0:
#tag.append(1.0)
return 'Character'
elif word == 2.0:
#tag.append(2.0)
return 'Thing'
elif word == 3.0:
#tag.append(3.0)
return 'Location'
elif word == 4.0:
#tag.append(8.0)
return 'Organization'
elif word == 5.0:
return 'Product'
elif word == 6.0:
return 'Event'
elif word == 7.0:
return 'Other'
else:
print('Catching different tag: {0}'.format(word))
#tags.append(tag)
return 'Error'
def integer_to_label(word):
if word == 0.0:
#tag.append(0.0)
return "PER"
elif word == 1.0:
#tag.append(1.0)
return 'ORG'
elif word == 2.0:
#tag.append(2.0)
return 'LOC'
elif word == 3.0:
#tag.append(3.0)
return 'MISC'
elif word == 4.0:
#tag.append(8.0)
return 'O'
else:
print('Catching different tag: {0}'.format(word))
#tags.append(tag)
return 'Error'