How do I set up NLTK for tokenization?

How do I set up NLTK for tokenization?

To set up NLTK for tokenization, first install the library using pip: pip install nltk. Then, import it in your script.

What do I need to do after importing NLTK?

After importing NLTK, you need to download the necessary tokenization models. You can do this by running nltk.download('punkt').

Can you show me an example of tokenizing a sentence?

Sure! Here's a simple example:

import nltk
nltk.download('punkt')

sentence = "Hello, world!"
tokens = nltk.word_tokenize(sentence)
print(tokens)

This will output: ['Hello', ',', 'world', '!'].

What other tokenization methods does NLTK support?

NLTK supports several tokenization methods, including word tokenization, sentence tokenization, and regular expression tokenization.