What is Bag of Words?

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Bag of words (BoW; also stylized as bag-of-words) is a feature extraction technique that models text data for processing in information retrieval and machine learning algorithms. Learn more with Grishma Jena.
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[@gerhitchman]

bringing out the bag of popcorn really helped clarify the concepts for me

[@metakokalj1207]

Excellent explanation for a NLP educational purpose. Would love to see similar videos with other basic NLP concepts ...

[@harithasreenivas921]

Explaining with examples definitely helps understand these concepts easily. Thank you for a great explanation.

[@dhammikaperera4059]

Hay Dr, Thanks very much for your help. Actually this is the last hours that I have left to study for whole NLP exam.

[@MarcosLeno221]

Clear as water! Thank You.

[@shakesrear7850]

Thank you

[@kevintuo]

Hello! Please can we have some pratice examples under your videos. In this case, like a set of document and what we should do clearly! Thanks for coming back to me🙏!

[@KumR]

how is it diff from TF IDF

[@viniciustorres6495]

Bag of words is a collection of words. TF IDF is a metric.

[@n310ea]

At first I thought she said "Bag of Worms".