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Bag of Words in Natural Language Processing

Bag of Words in Natural Language Processing

Update: 2020-10-09
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In this podcast episode we talk about bag of words model in natural language processing. Bag of Words model is simply a feature extraction method used in NLP. We mainly discuss about why bag of words model is required and what it is. In summary BOW is simply a set of tuples with words along with their frequency pairs.


To learn more about BOW : visit this


Gensim Introduction : visit this


Also, to support me do visit www.stacklearn.org

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Bag of Words in Natural Language Processing

Bag of Words in Natural Language Processing

Sarvesh Bhatnagar