如何从NLTK扩展停用词列表并使用扩展列表删除停用词？

我尝试了两种删除停用词的方法,但都遇到了问题：

方法1：

cachedStopWords = stopwords.words("english")
words_to_remove = """with some your just have from it's /via & that they your there this into providing would can't"""
remove = tu.removal_set(words_to_remove, query)
remove2 = tu.removal_set(cachedStopWords, query)

在这种情况下,只有第一个删除功能起作用. remove2不起作用.

方法2：

lines = tu.lines_cleanup([sentence for sentence in sentence_list], remove=remove)
words = '\n'.join(lines).split()
print words # list of words

输出看起来像这样[“ Hello”,“ Good”,“ day”]

我尝试从单词中删除停用词.这是我的代码：

for word in words:
    if word in cachedStopwords:
        continue
    else:
        new_words='\n'.join(word)

print new_words

输出看起来像这样：

H
e
l
l
o

不能弄清楚以上两种方法有什么问题.请指教.

解决方法:

使用它来增加停用词列表：

from nltk.corpus import stopwords
stop_words = stopwords.words('english')
print(len(stop_words))
stop_words.extend(['from', 'subject', 're', 'edu', 'use'])
print(len(stop_words))

输出：

179

184