What is the difference between TextVectorization and Tokenizer?

What is the difference between the layers.TextVectorization() and

from tensorflow.keras.preprocessing.text import Tokenizer
from tensorflow.keras.preprocessing.sequence import pad_sequences

And when to use what ?

Topic tokenization keras nlp

Category Data Science

1
answered at

Tokenization is the process of splitting a stream of language into individual tokens.

Vectorization is the process of converting string data into a numerical representation.

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