问题描述
我刚刚开始使用NLTK，但我不太了解如何从文本中获取单词列表.如果使用nltk.word_tokenize()，则会得到单词和标点的列表.我只需要这些词.我如何摆脱标点符号?同样，word_tokenize不适用于多个句子:在最后一个单词上加点.
I'm just starting to use NLTK and I don't quite understand how to get a list of words from text. If I use nltk.word_tokenize(), I get a list of words and punctuation. I need only the words instead. How can I get rid of punctuation? Also word_tokenize doesn't work with multiple sentences: dots are added to the last word.
推荐答案
看看nltk提供的其他标记化选项.例如，您可以定义一个令牌生成器，该令牌生成器将字母数字字符序列选作令牌，并丢弃其他所有内容:
Take a look at the other tokenizing options that nltk provides here. For example, you can define a tokenizer that picks out sequences of alphanumeric characters as tokens and drops everything else:
from nltk.tokenize import RegexpTokenizer
tokenizer = RegexpTokenizer(r'\w+')
tokenizer.tokenize('Eighty-seven miles to go, yet. Onward!')
输出:
['Eighty', 'seven', 'miles', 'to', 'go', 'yet', 'Onward']
这篇关于如何使用NLTK标记器消除标点符号?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！