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')]
如果要创建单个单词列表,但不包含停止词
>>> 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']]
然而,大多数情况下,你会使用一个单词列表(没有括号)
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']
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,则可以执行以下操作:
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]
如果要创建单个单词列表,但不包含停止词
如果你想保持句子完整
然而,大多数情况下,你会使用一个单词列表(没有括号)
您的实际代码中是否缺少引号?如果使用相同类型的引号,请确保关闭所有字符串并用反斜杠转义撇号。我也会把每个词分开,像这样:
正是圆括号阻碍了迭代。如果可以删除它们:
如果没有,则可以执行以下操作:
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