Bag of Words Model

The Bag of Words model is a way to represent text for analysis, treating each document as a collection of individual words without considering the order. It counts how many times each word appears, creating a "profile" that captures the content's key themes. This approach simplifies text into numerical data, making it easier for algorithms to compare documents, classify them, or analyze their meaning. Essentially, it’s like creating an inventory of words for each piece of text, focusing on frequency rather than structure or context.