从停用词中清除列表

Question

这个变量：

sent=[('include', 'details', 'about', 'your performance'),
('show', 'the', 'results,', 'which', 'you\'ve', 'got')]

需要清除停用词。我试过

output = [w for w in sent if not w in stop_words]

但是没有用。怎么了？

Answer 1

圆括号阻碍了迭代。如果你可以删除它们：

sent=['include', 'details', 'about', 'your performance','show', 'the', 'results,', 'which', 'you\'ve', 'got']
output = [w for w in sent if not w in stopwords]

如果没有，那么你可以这样做：

sent=[('include', 'details', 'about', 'your performance'),('show', 'the', 'results,', 'which', 'you\'ve', 'got')]
output = [i for s in [[w for w in l if w not in stopwords] for l in sent] for i in s]

Answer 2

from nltk.corpus import stopwords

stop_words = {w.lower() for w in stopwords.words('english')}

sent = [('include', 'details', 'about', 'your', 'performance'),
        ('show', 'the', 'results,', 'which', 'you\'ve', 'got')]

如果您想创建一个没有停用词的单词列表；

>>> no_stop_words = [word for sentence in sent for word in sentence if word not in stop_words]
['include', 'details', 'performance', 'show', 'results,', 'got']

如果你想保持句子完整；

>>> sent_no_stop = [[word for word in sentence if word not in stop_words] for sentence in sent]
[['include', 'details', 'performance'], ['show', 'results,', 'got']]

但是，大多数时候您会使用单词列表（不带括号）；

sent = ['include', 'details', 'about', 'your performance','show', 'the', 'results,', 'which', 'you\'ve', 'got']

>>> no_stopwords = [word for word in sent if word not in stop_words]
['include', 'details', 'performance', 'show', 'results,', 'got']

Answer 3

您的实际代码中是否缺少引号？如果您使用相同类型的引号，请确保关闭所有字符串并使用反斜杠转义撇号。我也会把每个词分开，像这样：

sent=[('include', 'details', 'about', 'your', 'performance'), ('show', 'the', 'results,', 'which', 'you\'ve', 'got')]

从停用词中清除列表

Clean list from stopwords

python

nltk