似乎应该有一种比以下更简单的方法:
import string
s = "string. With. Punctuation?" # Sample string
out = s.translate(string.maketrans("",""), string.punctuation)
有?
似乎应该有一种比以下更简单的方法:
import string
s = "string. With. Punctuation?" # Sample string
out = s.translate(string.maketrans("",""), string.punctuation)
有?
当前回答
我还没有看到这个答案。只需使用正则表达式;它删除了除单词字符(\w)和数字字符(\d)之外的所有字符,后跟一个空白字符(\s):
import re
s = "string. With. Punctuation?" # Sample string
out = re.sub(ur'[^\w\d\s]+', '', s)
其他回答
对于严肃的自然语言处理(NLP),您应该让像SpaCy这样的库通过标记化处理标点符号,然后您可以根据需要手动调整。
例如,您希望如何处理单词中的连字符?例外情况,如缩写?开始和结束引号?URL?在NLP中,将“let’s”这样的收缩分隔为“let”和“s”以进行进一步处理通常很有用。
这里有一个没有正则表达式的解决方案。
import string
input_text = "!where??and!!or$$then:)"
punctuation_replacer = string.maketrans(string.punctuation, ' '*len(string.punctuation))
print ' '.join(input_text.translate(punctuation_replacer).split()).strip()
Output>> where and or then
用空格替换标点用单个空格替换单词之间的多个空格删除尾随空格(如果有)条带()
为什么你们都不用这个?
''.join(filter(str.isalnum, s))
太慢了?
使用Python从文本文件中删除停止词
print('====THIS IS HOW TO REMOVE STOP WORS====')
with open('one.txt','r')as myFile:
str1=myFile.read()
stop_words ="not", "is", "it", "By","between","This","By","A","when","And","up","Then","was","by","It","If","can","an","he","This","or","And","a","i","it","am","at","on","in","of","to","is","so","too","my","the","and","but","are","very","here","even","from","them","then","than","this","that","though","be","But","these"
myList=[]
myList.extend(str1.split(" "))
for i in myList:
if i not in stop_words:
print ("____________")
print(i,end='\n')
我还没有看到这个答案。只需使用正则表达式;它删除了除单词字符(\w)和数字字符(\d)之外的所有字符,后跟一个空白字符(\s):
import re
s = "string. With. Punctuation?" # Sample string
out = re.sub(ur'[^\w\d\s]+', '', s)