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Python Natural Language Processing
book

Python Natural Language Processing

by Jalaj Thanaki
July 2017
Beginner to intermediate
486 pages
13h 49m
English
Packt Publishing
Content preview from Python Natural Language Processing

Application

These techniques are very useful. Let's see some of the basic applications for this mapping technique:

  • Many artificial neural networks accept input data in the one-hot encoding format and generate output vectors that carry the sematic representation as well
  • The word2vec algorithm accepts input data in the form of words and these words are in the form of vectors that are generated by one-hot encoding

Now it's time to look at the decoding concept. Decoding concepts are mostly used in deep learning nowadays. So here, we will define the decoder in terms of deep learning because we will use this encoding and decoding architecture in Chapter 9, Deep Learning for NLU and NLG Problems, to develop a translation system.

An encoder maps ...

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Publisher Resources

ISBN: 9781787121423