在 nltk 中实现停用词时遇到问题

Question

从语料库导入停用词后，我从 nltk.download() 下载了所有文件，然后

#reading from a .txt file

list = []
with open("positive.txt", "r") as file:
        for words in file:
            words = words.strip()
            list.append(words)

#tokenizing words

pos_words = []
for i in list:
    pos_words.append(word_tokenize(i))

stop_words = [stopwords.words('english')]
print(stop_words)

final_pos_words = []
for i in pos_words:
    if i not in stop_words:
        final_pos_words.append(i)
print(final_pos_words)

但这并没有删除任何内容 运行后：

final_pos_words = []
for i in pos_words:
    if i in stop_words:
        final_pos_words.append(i)
print(final_pos_words)

输出是[]

Answer 1

也许改成：

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

#Read the file
f = open('positive.txt').read()

#Tokenizing the words 
words = word_tokenize(f)

#set of predifined english stop words
stop_words = set(stopwords.words('english'))

#Filter stop words
filtered = [w for w in words if not w in stop_words]
print(filtered)

我已经尝试过这个并且对我有用，没有错误，尝试一下，让我知道结果。