-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathutils.py
111 lines (84 loc) · 2.88 KB
/
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
import re
import parsivar
from consts import *
stemmer = parsivar.FindStems() # # delimiter
lemmatizer = hazm.Lemmatizer() # & delimiter
tokenizer = hazm.WordTokenizer(
replace_links=True,
replace_hashtags=True,
replace_emails=True,
replace_IDs=True,
join_verb_parts=False
)
pair_counting = {}
def stemming(token):
stemmed_word = stemmer.convert_to_stem(lemmatizer.lemmatize(token)).replace('&', '#')
if '#' in stemmed_word:
past, present = stemmed_word.split('#')
stemmed_word = past if past in token else present
return stemmed_word
def tokenizing(sentence):
# # # part 1
# sentence = remove_numbers(sentence)
# sentence = remove_english_characters(sentence)
# sentence = remove_punctuations(sentence)
#
# words = sentence.split()
# tokens = []
# for word in words:
# if word not in stopwords:
# tokens.append(word)
# # part 2
sentence = remove_half_spaces(sentence)
sentence = remove_numbers(sentence)
sentence = remove_english_characters(sentence)
sentence = remove_punctuations(sentence)
sentence = remove_emojis(sentence)
sentence = remove_diacritics(sentence)
sentence = sentence.replace(' ', ' ')
sentence = replace_multi_words_token(sentence)
words = tokenizer.tokenize(sentence)
tokens = []
for word in words:
stemmed_word = stemming(word)
if word not in stopwords and stemmed_word not in stopwords:
tokens.append(stemmed_word)
return tokens
def remove_half_spaces(sentence):
for half_space in half_spaces:
sentence = sentence.replace(half_space, ' ')
return sentence
def remove_numbers(sentence):
for digit in digit_characters:
sentence = sentence.replace(digit, '')
return sentence
def remove_punctuations(sentence):
for punctuation in punctuations:
sentence = sentence.replace(punctuation, ' ')
return sentence
def remove_diacritics(sentence):
for diacritic in diacritics:
sentence = sentence.replace(diacritic, '')
for normalized_character, characters in character_mapping.items():
for character in characters:
sentence = sentence.replace(character, normalized_character)
return sentence
def remove_emojis(sentence):
emoji_pattern = re.compile(
"["
u"\U0001F600-\U0001F64F"
u"\U0001F300-\U0001F5FF"
u"\U0001F680-\U0001F6FF"
u"\U0001F1E0-\U0001F1FF"
"]+",
flags=re.UNICODE
)
return emoji_pattern.sub(r'', sentence)
def remove_english_characters(sentence):
for english_character in english_characters:
sentence = sentence.replace(english_character, '')
return sentence
def replace_multi_words_token(sentence):
for multi_word_token in multi_words_token:
sentence.replace(multi_word_token, multi_word_token.replace(' ', '_'))
return sentence