如何使用 NLTK 标记器去除标点符号? [英] How to get rid of punctuation using NLTK tokenizer?

问题描述

我刚刚开始使用 NLTK，我不太明白如何从文本中获取单词列表.如果我使用 nltk.word_tokenize()，我会得到一个单词和标点符号列表.我只需要单词.我怎样才能摆脱标点符号?此外，word_tokenize 不适用于多个句子:在最后一个单词上添加点.

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 这里.例如，您可以定义一个分词器，它挑选出字母数字字符序列作为标记并删除其他所有内容:

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']

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