在为特定单词创建并置列表时，从文本文本文件中删除停用词

Question

https://github.com/sgsinclair/alta/blob/2acb6ed09f298f631e4025d33f062f980758a1ce/ipynb/utilities/Collocates.ipynb

您好，我对python和编程完全陌生。我正在按照上面链接中的教程来查找文本文件中特定单词的搭配。我想知道在下面的脚本中创建一个collocations列表之前是否有办法从整个文本文件中删除停用词？

我尝试了以下代码，但它无效：

 %ls *.txt

 targetText = "Hume Treatise.txt"

  with open(targetText, "r") as f:
    theText = f.read()

  print("This string has", "{:,}".format(len(theText)), "characters")

  import re
  theTokens = re.findall(r'\b\w[\w-]*\b', theText.lower())
  print(theTokens[:10])


  wrd2find = input("What word do you want collocates for?") 
  context = 5

  end = len(theTokens)
  counter = 0
  theCollocates = []
  for word in theTokens:
    if word == wrd2find:
       for i in range(context):
          if (counter - (i + 1)) >= 0: 
              theCollocates.append(theTokens[(counter - (i + 1))]) 
          if (counter + (i + 1)) < end: 
              theCollocates.append(theTokens[(counter + (i + 1))]) 
          counter = counter + 1

          print(theCollocates[:10])

          import nltk
          tokenDist = nltk.FreqDist(theCollocates)
          tokenDist.tabulate(10)

          from nltk.corpus import stopwords
          filtered_words = [word for word in word_list if word not in              
          stopwords.words('english')]


          import matplotlib
          %matplotlib inline
          tokenDist.plot(25, title="Top Frequency Collocates for " +         
          wrd2find.capitalize())