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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