July 2017
Beginner to intermediate
486 pages
13h 49m
English
Content preview from Python Natural Language Processing
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Applications
In this section, we will look at which applications use BOW as features in the NLP domain:
- If you want to make an NLP application that classifies documents in different categories, then you can use BOW.
- BOW is also used to generate frequency count and vocabulary from a dataset. These derived attributes are then used in NLP applications such as sentiment analysis, Word2vec, and so on.
Now it's time to look at some of the semantic tools that we can use if we want to include semantic-level information in our NLP applications.
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