How to do Category encoding and string lookup using keras?
This recipe helps you do Category encoding and string lookup using keras
Recipe Objective
Category encoding and string lookup using keras.
one-hot encoding is the representation of categorical variables as binary vectors.
The keras provides a to_categorical() method. It can encode the strings data into numerical or integer data.
Table of Contents
Step 1- Importing Libraries.
from keras.preprocessing.text import one_hot
from keras.preprocessing.text import text_to_word_sequence
from keras.preprocessing.text import Tokenizer
Step 2- Encoding the text.
Define the text that you want to encode.
#Define text
text = 'a book or other written or printed work, regarded in terms of its content rather than its physical form'
#Size of the vocabulary
words = set(text_to_word_sequence(text))
vocab = len(words)
Step 3- One hot encode the text
# integer encode the document
result = one_hot(text, round(vocab_size))
print(result)
[6, 2, 7, 3, 2, 7, 7, 1, 5, 2, 7, 4, 1, 2, 7, 4, 1, 4, 5]
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