10 examples of 'nltk stopwords' in Python

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5def stopwords_nltk():
6
7 return stopwords.words('english')
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73def remove_stopwords(tokens, language):
74 """
75 去除中文结束词
76 """
77 from .stopwords import stopwords
78
79 # 删除结束词
80 tokens = set(tokens) - set(stopwords)
81
82 return tokens
433def stop_words_stem(self, stop_words=None):
434 if stop_words is not None:
435 stop_words_ = stop_words
436 else:
437 stop_words_ = self.stop_words
438 return list(set([stem(word) for word in stop_words_]))
53def remove_stopwords(tokens, stopwords=STOPWORDS):
54 """Remove stopwords using list from `gensim.parsing.preprocessing.STOPWORDS`.
55
56 Parameters
57 ----------
58 tokens : iterable of str
59 Sequence of tokens.
60 stopwords : iterable of str, optional
61 Sequence of stopwords
62
63 Returns
64 -------
65 list of str
66 List of tokens without `stopwords`.
67
68 """
69 return [token for token in tokens if token not in stopwords]
231def _remove_stop_words(phrase):
232 while len(phrase) > 0 and (phrase[0].is_stop
233 or str(phrase[0]).strip().lower() in Stopwords.get_words()):
234 phrase = phrase[1:]
235 while len(phrase) > 0 and (phrase[-1].is_stop
236 or str(phrase[-1]).strip().lower() in Stopwords.get_words()):
237 phrase = phrase[:-1]
238 return phrase
541@staticmethod
542def tokenize(text):
543 return [word for word in word_tokenize(text.lower()) if word not in stopwords.words('english')]
35@staticmethod
36def removeStopWords(words):
37 file = open("stopwords.dic")
38 stopwords = []
39 for line in file.readlines():
40 line = line.strip();
41 if len(line) > 0:
42 stopwords.append(line)
43 file.close()
44 rwords = []
45 for word in words:
46 flag = True
47 for stopword in stopwords:
48 #if word.encode('utf-8') == stopword.encode('utf-8'):
49 if word == stopword:
50 flag = False
51 break
52 if flag and len(word.strip()) > 0:
53 rwords.append(word)
54 return rwords
202@property
203def cleanTokens(self, removeStopwords=True):
204 clean = [token for token in self.tokens if token not in punctuation]
205 clean = [token.lower() for token in clean]
206 clean = [token for token in clean if token.isalpha()]
207 if removeStopwords:
208 clean = self.removeStopwords(clean)
209 return clean
6def stopwords_filter(string):
7
8 text = string
9 # strip tashkeel because the stop words list contains voweled words
10 text = araby.strip_tashkeel(text)
11 word_tokenizer = WordTokenizer("arabic")
12 tokens = word_tokenizer.tokenize(text)
13
14 # filter stop words
15 no_stops = [w for w in tokens if w not in ARABIC_STOPS]
16
17 return no_stops
9def _load_stopwords():
10 with open('./files/stopword.txt', 'r', encoding='utf-8') as fr:
11 lines = [line.strip('\r\n ') for line in fr]
12 return lines

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