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]
但它没有奏效。
怎么了？
最佳答案
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']
关于python - 从停用词中清除列表，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/62293141/