© Taweh Beysolow II 2018
Taweh Beysolow IIApplied Natural Language Processing with Python https://doi.org/10.1007/978-1-4842-3733-5_3

3. Working with Raw Text

Taweh Beysolow II1 
(1)
San Francisco, California, USA
 

Those who approach NLP with the intention of applying deep learning are most likely immediately confronted with a simple question: How does a machine learning algorithm learn to interpret text data? Similar to the situations in which a feature set may have a categorical feature, we must perform some preprocessing. While the preprocessing we perform in NLP often is more involved than simply converting a categorical feature using label encoding, the principle is the same. We need to find a way to represent individual observations of texts ...

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