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We communicate with words. When you talk to me, I understand what you mean. But computers canamp;#39;t do that naturally. They operate with numbers. If we want machines to understand what weamp;#39;re saying, we need to help them out. We need a way to convert text into something numerical. Well, Iamp;#39;ve got a bag of words right here thatamp;#39;ll do the trick. Bag of words sounds made up, but itamp;#39;s actually a pretty powerful model that will get us started in natural language processing. Today weamp;#39;re going to explore how this model works, its strengths, its limitations, and how it paves the way for more complex language processing techniques. Behold, a piece of text. With the bag of words model, we toss these words into a bag. Shaking is optional. The original structure, grammar, and word order are all lost in the mix. What remains are just the individual words. This process transforms qualitative data, the text, into quantitative data, the numbers. Each word in t