Bag of Words

Analyzing and quantifying unstructured data, such as text, is the core of natural language processing. In this short video, director of data science, Max Margenot explains how to preprocess a text document using tokenization and stemming to create a bag of words for use in whatever sort of model you want, including sentiment models.

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[mokhiyakhonuzokova]

Finally, i got the idea of BOW. Watched many video tutorials, read papers, drugged in tons of docs. I thought i could never understand what it really is. Your video made my day, thank you for the simpliest explanation!

[devanshmesson]

This 3 minute video was so awesome, even animations made with brilliant!
Hats off to you man!

[irazira]

Thanks for your video. I'm doing data labelling so i got an idea now how it works on the machine learning.

[竹子君冲呀]

If I understand it right. It counted all the times the word appeared and represent the times in the sentence by appearing times vector?