Bag of Words in Natural Language Processing
Manage episode 311353550 series 3111581
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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