如果行仅包含停用词中的任何一行,请从文本文件中删除这些行

时间:2019-03-06 06:44:22

标签: python python-3.x text nltk stop-words

我只想从Myfile.txt文件中删除那些行,如果该行仅包含并且仅包含停用词中的任何一个

例如,Myfile.txt文件的示例是

Adh Dhayd
Abu Dhabi is      # here is "is" stopword but this line should not be removed because line contain #Abu Dhabi is
Zaranj
of                # this line contains just stop word, this line should be removed
on                # this line contains just stop word, this line should be removed
Taloqan
Shnan of          # here is "of" stopword but this line should not be removed because line contain #Shnan of
is                # this line contains just stop word, this line should be removed
Shibirghn
Shahrak
from              # this line contains just stop word, this line should be removed

我以以下代码为例

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



example_sent = "This is a sample sentence, showing off the stop words filtration."

stop_words = set(stopwords.words('english'))

word_tokens = word_tokenize(example_sent)

filtered_sentence = [w for w in word_tokens if not w in stop_words]

filtered_sentence = []

for w in word_tokens:
    if w not in stop_words:
        filtered_sentence.append(w)

print(word_tokens)
print(filtered_sentence)

那么根据上述内容,Myfile.txt的解决方案代码将是什么。

1 个答案:

答案 0 :(得分:0)

您可以查看该行是否与任何停用词匹配,如果没有将其附加到过滤后的内容中。也就是说,如果您要过滤仅包含一个stop_word的所有行。如果还应该过滤包含多个停用词的行,请尝试对该行进行标记化,并使用stop_words构建交集:

f = open("test.txt","r+")
filtered_content = []
stop_words = set(stopwords.words('english'))
for line in f.read().splitlines():
    if not line in stop_words:
        filtered_content.append(line)
g = open("test_filter.txt","a+")
g.write("\n".join(filtered_content))
g.close()
f.close()

如果要删除多个停用词,请使用此if语句。这将删除仅包含停用词的行。如果一个单词不是停用词,则保留该行:

if not len(set(word_tokenize(line)).intersection(stop_words)) == len(word_tokenize(line)):