如何在python中删除字符串数组的停止字？

我有问题，当用户输入字符串，然后我调用停止字它是给我一个错误[删除停止字r

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不清楚您想完成什么，但这段代码可能会解决您的问题。下面的代码包含3个问题，这些问题已经输入，标记并规范化了问题，删除了英语停止词和常用标点符号

from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize

# Import the string module needed to remove punctuation characters
from string import punctuation

# English stop words to remove from text.
# A stop word is a commonly used word, such
# as “the”, “a”, “an”, “in”
stop_words = set(stopwords.words('english'))

# ASCII characters which are considered punctuation characters.
# These characters will be removed from the text
exclude_punctuation = set(punctuation)

# Combine the stop words and the punctuations to remove
exclude_combined = set.union(stop_words, exclude_punctuation)

question_input = []
for i in range(3):
  question_input.append(input("Please Enter Your Question: "))

# converts the question list into a group of strings that are separated by a comma 
questions = (', '.join(question_input))

# Tokenize and normalized the questions
tokenize_input = word_tokenize(questions.lower().strip())

# Remove the English stop words and punctuations
expunge_stopwords_punctuations = [word for word in tokenize_input if not word in exclude_combined]

print (expunge_stopwords_punctuations)

sys.exit(0)


#####################################################
# INPUT 
# Please Enter Your Question: This is a question.
# Please Enter Your Question: This is another question. 
# Please Enter Your Question: This is the final question.
#####################################################

#####################################################
# OUTPUT 
# ['question', 'another', 'question', 'final', 'question']
#####################################################

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请在您的问题中发布完整的代码和错误消息-而不仅仅是picture@nick我编辑了我的问题。看这个。@RanaEssam我的回答有助于解决你的问题吗？

from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize

# Import the string module needed to remove punctuation characters
from string import punctuation

# English stop words to remove from text.
# A stop word is a commonly used word, such
# as “the”, “a”, “an”, “in”
stop_words = set(stopwords.words('english'))

# ASCII characters which are considered punctuation characters.
# These characters will be removed from the text
exclude_punctuation = set(punctuation)

# Combine the stop words and the punctuations to remove
exclude_combined = set.union(stop_words, exclude_punctuation)

question_input = []
for i in range(3):
  question_input.append(input("Please Enter Your Question: "))

# converts the question list into a group of strings that are separated by a comma 
questions = (', '.join(question_input))

# Tokenize and normalized the questions
tokenize_input = word_tokenize(questions.lower().strip())

# Remove the English stop words and punctuations
expunge_stopwords_punctuations = [word for word in tokenize_input if not word in exclude_combined]

print (expunge_stopwords_punctuations)

sys.exit(0)


#####################################################
# INPUT 
# Please Enter Your Question: This is a question.
# Please Enter Your Question: This is another question. 
# Please Enter Your Question: This is the final question.
#####################################################

#####################################################
# OUTPUT 
# ['question', 'another', 'question', 'final', 'question']
#####################################################