如何提取用户句子并从中创建单词列表？

Question

I'm unsure what the user will enter but I want to break their input sentence up into words in a list

User_input = raw_input("Please enter a search criterion: ")
User_Input_list[""]

# input example: steve at the office

# compiling the regular expression:
keyword = re.compile(r"\b[aA-zZ]\b")
     for word in User_input:
         User_Input_list.append(word?)

# going by thin put example input I'd want
# User_Input_list["steve", "at" , "the" , "office"] 

I'm unsure how to split the input up into separate words? I will give cookies for help!

Answer 1

User_Input_list = User_input.split()

Answer 2

The easiest solution is probably to use split :

>>> "steve at the office".split()
['steve', 'at', 'the', 'office']

But this won't remove punctuation, which may or may not be a problem for you:

>>> "steve at the office.".split()
['steve', 'at', 'the', 'office.']

You could use re.split() to only pluck out letters:

>>> re.split('\W+', 'steve at the office.')
['steve', 'at', 'the', 'office', '']

But as you can see above you might end up with empty entries to deal with, and things worse when you have more subtle punctuation:

>>> re.split("\W+", "steve isn't at the office.")
['steve', 'isn', 't', 'at', 'the', 'office', '']

So you could do some work here to pick a better regular expression, but you'll need to decide how you want to handle text like steve isn't at the 'the office' .

So to select the right solution for you, you'll have to think about what input you'll get and what output you want.

Answer 3

Basicaly,

you should do this:

User_Input_list = User_input.split(' ')

and that's it...

Answer 4

User_input = raw_input("Please enter a search criterion: ")
User_Input_list = User_input.split(" ")

see:

http://docs.python.org/library/stdtypes.html

Answer 5

请执行下列操作

User_input = raw_input("Please enter a search criterion: ")

User_Input_list = User_input.split()

Answer 6

You found re already, there is a nice example of splitting a string:

re.split('\W+', 'Words, words, words.')

Like this you get all words, all punctuation removed.