How to tokenize text using pytorch
This recipe helps you tokenize text using pytorch
Recipe Objective
How to tokenize text using pytorch?
The tokenization means splitting the sentence into particular tokens, this is achieved by using "get_tokenizer" function which will return the tokens for a sentence. For tokenization we are going to use Spacy which is an NLP framework. Lets understand this with practical implementation.
Learn to use RNN for Text Classification with Source Code
Table of Contents
Step 1 - Import library
import torchtext
from torchtext.data import get_tokenizer
Step 2 - Take Sample text
text = "This is a pytorch tutorial for tokenization!"
Step 3 - Tokenize the sentence
tokenizer = get_tokenizer("spacy")
My_tokens = tokenizer(text)
My_tokens
['This', 'is', 'a', 'pytorch', 'tutorial', 'for', 'tokenization', '!']
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