这个变量:
sent=[('include', 'details', 'about', 'your performance'),
('show', 'the', 'results,', 'which', 'you\'ve', 'got')]
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需要清除停用词。我试过
output = [w for w in sent if not w in stop_words]
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但它没有奏效。怎么了?
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')]
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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']
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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']]
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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']
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是圆括号妨碍了迭代。如果您可以删除它们:
sent=['include', 'details', 'about', 'your performance','show', 'the', 'results,', 'which', 'you\'ve', 'got']
output = [w for w in sent if not w in stopwords]
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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]
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