在没有 NLTK 的情况下删除文本文件中的停用词

Question

我有 2 个文件：stopwords.txt 和 a.txt
我想从文件a.txt 中的文件stopwords.txt 中删除停用词，并用空格分隔。

我该怎么做？这是我试图做的：

def remove_stopwords(review_words):
with open('stopwords.txt') as stopfile:
    stopwords = stopfile.read()
    list = stopwords.split()
    print(list)
    with open('a.txt') as workfile:
        read_data = workfile.read()
        data = read_data.split()
        print(data)
        for word1 in list:
            for word2 in data:
                if word1 == word2:
                    return data.remove(list)
                    print(remove_Stopwords)

提前致谢

Answer 1

这是一个例子：

k = []
z = []
with open('stopWords.txt', 'r') as f:
   for word in f:
        word = word.split('\n')
        k.append(word[0])

with open('a.txt', 'r') as f_obj:
    for u in f_obj:
        u = u.split('\n')
        z.append(u[0])

p = [t for t in z if t not in k]
print(p)

遍历停用词文件中的每个单词并将其附加到一个列表中，然后遍历另一个文件中的每个单词。执行列表理解并删除出现在停用词列表中的每个单词。

Answer 2

a.txt:

good great bad

stopwords.txt:

good bad

也许：

with open('a.txt','r') as f, open('stopwords.txt','r') as f2:
   a=f.read().split();b=f2.read().split()
   print(' '.join(i for i in a if i.lower() not in (x.lower() for x in b)))